None
**Instruments Affected**: MIRI, NIRCam
Tested on MIRI Simulated data
This notebook processes a set of images through calwebb_image2 and calwebb_image3 and examines the output table of the source_catalog step.
This test uses simulated MIRI F770W (options for F560W or F770W) data of a crowded star + galaxy field.
The pipeline documentation can be found here: https://jwst-pipeline.readthedocs.io/en/latest/jwst/source_catalog/main.html
The pipeline code is available on GitHub: https://github.com/spacetelescope/jwst
The algorithm and discussion for this step can be found at the following page:
https://outerspace.stsci.edu/display/JWSTCC/Vanilla+Point+Source+Catalog
The steps of this test are as follow:
1) Set up data path and directory and image files name.
2) Run output of calwebb_detector1 through calwebb_image2.
3) Run output of calwebb_image2 through calwebb_image3.
4) Read in output table of source_catalog step and print ecsv table
5) Display image and overplot detector sources from ecsv table.
6) Look at plots of total flux in Jy and AB mag.
7) Look for matches between expected source positions (RA and Dec) from simulated catalog to output from source_catalog.
8) Compare magnitudes and magnitude differences between input simulated catalog and output found sources.
The data used in this test consist of a set of four simulated images in the F770W filter of MIRI, at four different dither positions. The data have 4827 stars of varying flux levels and just over 200 galaxies in the image. The MIRI Image simulator (MIRISim) was used to create the simulations.
# Create a temporary directory to hold notebook output, and change the working directory to that directory.
from tempfile import TemporaryDirectory
import os
data_dir = TemporaryDirectory()
os.chdir(data_dir.name)
# For info, print out where the script is running
print("Running in {}".format(os.getcwd()))
Running in /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpyouyqhc0
The following packages are needed to enable this notebook to run:
#import pytest
import numpy as np
from glob import glob
import json
import matplotlib.pyplot as plt
import photutils
from astropy.io import fits, ascii
from astropy.coordinates import Angle
from astropy.table import Table, vstack, unique, join
from astropy import table
from astropy.coordinates import SkyCoord, match_coordinates_sky
from astropy.visualization import simple_norm
from astropy import units as u
from astropy.modeling import models
from astropy.wcs import WCS
# Box download imports
from astropy.utils.data import download_file
from pathlib import Path
from shutil import move
from os.path import splitext
import jwst
from jwst import datamodels
from jwst.datamodels import RampModel, ImageModel
from jwst import associations
from jwst.associations import asn_from_list
from jwst.associations.lib.rules_level3_base import DMS_Level3_Base
from jwst.pipeline import calwebb_image3
from jwst.pipeline import calwebb_image2
from jwst.pipeline import calwebb_detector1
from jwst.pipeline import Detector1Pipeline, Image2Pipeline, Image3Pipeline
from ci_watson.artifactory_helpers import get_bigdata
def create_scatterplot(catalog_colx, catalog_coly, title=None):
''' Function to generate a generic scatterplot.
'''
fig = plt.figure(figsize=(8, 8))
ax = plt.subplot()
ax.scatter(catalog_colx,catalog_coly)
plt.xlabel(catalog_colx.name)
plt.ylabel(catalog_coly.name)
if title:
plt.title(title)
# Band info from constants in miricap
# wref in microns and zeropoint in Jy
band_info = {
"2MASS J": {'wref': 1.235, 'zeropoint': 1594},
"2MASS H": {'wref': 1.662, 'zeropoint': 1024},
"2MASS Ks": {'wref': 2.159, 'zeropoint': 666.7},
"Johnson U": {'wref': 0.36, 'zeropoint': 1823},
"Johnson B": {'wref': 0.44, 'zeropoint': 4130},
"Johnson V": {'wref': 0.55, 'zeropoint': 3781},
"Johnson R": {'wref': 0.71, 'zeropoint': 2941},
"Johnson I": {'wref': 0.97, 'zeropoint': 2635},
"Johnson J": {'wref': 1.25, 'zeropoint': 1603},
"Johnson H": {'wref': 1.60, 'zeropoint': 1075},
"Johnson K": {'wref': 2.22, 'zeropoint': 667},
"Johnson L": {'wref': 3.54, 'zeropoint': 288},
"Johnson M": {'wref': 4.80, 'zeropoint': 170},
"Johnson N": {'wref': 10.6, 'zeropoint': 36},
"Johnson O": {'wref': 21.0, 'zeropoint': 9.4},
"UKIRT V": {'wref': 0.5556, 'zeropoint': 3540},
"UKIRT I": {'wref': 0.9, 'zeropoint': 2250},
"UKIRT J": {'wref': 1.25, 'zeropoint': 1600},
"UKIRT H": {'wref': 1.65, 'zeropoint': 1020},
"UKIRT K": {'wref': 2.20, 'zeropoint': 657},
"UKIRT L": {'wref': 3.45, 'zeropoint': 290},
"UKIRT L'": {'wref': 3.80, 'zeropoint': 252},
"UKIRT M": {'wref': 4.8, 'zeropoint': 163},
"UKIRT N": {'wref': 10.1, 'zeropoint': 39.8},
"UKIRT Q": {'wref': 20.0, 'zeropoint': 10.4},
"MIRLIN N": {'wref': 10.79, 'zeropoint': 33.4},
"MIRLIN Q-s": {'wref': 17.90, 'zeropoint': 12.4},
"MIRLIN N0": {'wref': 7.91, 'zeropoint': 60.9},
"MIRLIN N1": {'wref': 8.81, 'zeropoint': 49.4},
"MIRLIN N2": {'wref': 9.69, 'zeropoint': 41.1},
"MIRLIN N3": {'wref': 10.27, 'zeropoint': 36.7},
"MIRLIN N4": {'wref': 11.70, 'zeropoint': 28.5},
"MIRLIN N5": {'wref': 12.49, 'zeropoint': 25.1},
"MIRLIN Q0": {'wref': 17.20, 'zeropoint': 13.4},
"MIRLIN Q1": {'wref': 17.93, 'zeropoint': 12.3},
"MIRLIN Q2": {'wref': 18.64, 'zeropoint': 11.4},
"MIRLIN Q3": {'wref': 20.81, 'zeropoint': 9.2},
"MIRLIN Q4": {'wref': 22.81, 'zeropoint': 7.7},
"MIRLIN Q5": {'wref': 24.48, 'zeropoint': 6.7},
"MIRLIN K": {'wref': 2.2, 'zeropoint': 650.0},
"MIRLIN M": {'wref': 4.68, 'zeropoint': 165.0},
"WISE W1": {'wref': 3.4, 'zeropoint':309.54},
"WISE W2": {'wref': 4.6, 'zeropoint':171.787},
"WISE W3": {'wref': 12., 'zeropoint':31.674},
"WISE W4": {'wref': 22., 'zeropoint':8.363},
}
# code from miricap.imager section written by Christophe Cossou of the MIRI EC team.
def get_band_info(band, system):
"""
Retrieve information on a given band in a dictionnary 'band_info' that need to be
available in global variable of the script at this level.
:param str band: Band name (e.g. V for Johnson)
:param str system: possible values: Johnson, 2MASS, UKIRT, MARLIN)
:return: wref in microns and zeropoint in Jy
:rtype: tuple(Quantity, Quantity)
"""
system_list = ["Johnson", "2MASS", "UKIRT", "MARLIN"]
if system not in system_list:
LOG.info(f"Unknown system '{system}'. Possible values: {system_list}")
return None, None
key = f"{system} {band}"
try:
band_dict = band_info[key]
zeropoint = band_dict["zeropoint"]
wref = band_dict["wref"]
except KeyError:
bands = [k.split()[1] for k in band_info.keys() if system in k]
LOG.info(f"Unknown band '{band}' for '{system}'. Available bands are: {', '.join(bands)}")
return None, None
return wref * u.micron, zeropoint * u.Jy
def mag2flux(magnitude, band, system="Johnson"):
"""
Convert magnitude in a given band/system into flux in mJy (and return the corresponding wavelength reference
:param float magnitude: magnitude in a given bandpass
:param str band: band name (e.g 'V' or Johnson system)
:param str system: (By default Johnson, possible values: Johnson, 2MASS, UKIRT, MARLIN)
:return: flux in mJy and wref in microns
:rtype: tuple(float, float)
"""
wref, zero_point = get_band_info(band, system)
flux = zero_point * 10.0 ** (-0.4 * magnitude)
print(f"Magnitude {magnitude} in {system} band {band} -> Flux: {flux} at {wref} microns")
return flux.to(u.mJy).value, wref.value
def extrapolate_flux(flux, wref, waves, temperature_star):
"""
From a flux and reference wavelength, will return the flux for other wavelength
(using the star effective temperature for the spectrum shape)
To convert magnitude flux in a band, use one of the following website for instance:
- http://ssc.spitzer.caltech.edu/warmmission/propkit/pet/magtojy/
- https://www.gemini.edu/sciops/instruments/midir-resources/imaging-calibrations/fluxmagnitude-conversion
:param float flux: Star flux in mJy
:param float wref: reference wavelength (microns) corresponding to the flux given in parameter
:param waves: list of wavelengths you want to extrapolate the star flux on.
:type waves: float or list(float) or np.array(float)
:param float temperature_star: star effective temperature in K
:return: flux values for all required wavelengths. Unit will be the unit of the input flux
:rtype: quantity or np.array(quantity)
"""
flux = flux * u.mJy
wref = wref * u.micron
waves = waves * u.micron
bb_star = models.BlackBody(temperature_star * u.K)
extrapolated_flux = flux * bb_star(waves) / bb_star(wref)
print(f"Assuming T={temperature_star} K, Flux: {flux} at {wref} -> Flux: {extrapolated_flux} at {waves}")
return extrapolated_flux
print(jwst.__version__)
print(data_dir)
1.2.3 <TemporaryDirectory '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpyouyqhc0'>
# Read in new dataset from Box
def get_box_files(file_list):
for box_url,file_name in file_list:
if 'https' not in box_url:
box_url = 'https://stsci.box.com/shared/static/' + box_url
downloaded_file = download_file(box_url)
if Path(file_name).suffix == '':
ext = splitext(box_url)[1]
file_name += ext
move(downloaded_file, file_name)
# Use F560W data set
#file_urls = ['https://stsci.box.com/shared/static/g8ozd2wkdo9klrtkafpe9qegpzhpd66a.fits',
# 'https://stsci.box.com/shared/static/ym75nbqdi32t9wnbanm6s57itqixniyc.fits',
# 'https://stsci.box.com/shared/static/0bqh6ijsc6kd7cyv6gtnj9kvly9t885f.fits',
# 'https://stsci.box.com/shared/static/tywadpqcjhp9yxyv0sy91hc79red92xm.fits',
# 'https://stsci.box.com/shared/static/lpcgp7jkq6lmjj2lxpk63jz9u05qgk3a.cat',
# 'https://stsci.box.com/shared/static/15j6hkjc28zow4rjepob2t75dl887zs3.cat']
#file_names = ['det_image_seq1_MIRIMAGE_F560Wexp1_rate.fits',
# 'det_image_seq2_MIRIMAGE_F560Wexp1_rate.fits',
# 'det_image_seq3_MIRIMAGE_F560Wexp1_rate.fits',
# 'det_image_seq4_MIRIMAGE_F560Wexp1_rate.fits',
# 'input_sim_stars.cat',
# 'input_sim_galaxies.cat']
# Test with F770W data set
file_urls = ['https://stsci.box.com/shared/static/8573htf1p8mhk4e49z9b483dp975y3lz.fits',
'https://stsci.box.com/shared/static/p69h7uzlmqwlzf6kqqbf4lu9ibz28tc6.fits',
'https://stsci.box.com/shared/static/js8k6j20rek1oago057wxn08dhuticij.fits',
'https://stsci.box.com/shared/static/es253mc3m1sptusj9c9ctl1blidr1qdl.fits',
'https://stsci.box.com/shared/static/lpcgp7jkq6lmjj2lxpk63jz9u05qgk3a.cat',
'https://stsci.box.com/shared/static/15j6hkjc28zow4rjepob2t75dl887zs3.cat']
file_names = ['det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits',
'det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits',
'det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits',
'det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits',
'input_sim_stars.cat',
'input_sim_galaxies.cat']
box_download_list = [(url,name) for url,name in zip(file_urls,file_names)]
get_box_files(box_download_list)
# Run Calwebb_image2 on output files from detector1
ratefiles = glob('*rate.fits')
print('There are ', len(ratefiles), ' images.')
callist = []
# cycle through files
for im in ratefiles:
pipe2 = Image2Pipeline()
rampfile = ImageModel(im)
filename = rampfile.meta.filename
# Set pipeline parameters
pipe2.save_results = True
pipe2.output_file = filename +'_cal.fits'
pipe2.resample.save_results = True
pipe2.suffix = None
calfile = pipe2.run(rampfile)
callist.append(calfile)
print(callist)
2021-08-28 02:14:14,658 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created. 2021-08-28 02:14:14,660 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created. 2021-08-28 02:14:14,661 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created. 2021-08-28 02:14:14,662 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created. 2021-08-28 02:14:14,663 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created. 2021-08-28 02:14:14,664 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
There are 4 images.
2021-08-28 02:14:15,110 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:15,114 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpyouyqhc0/det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-08-28 02:14:15,121 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-08-28 02:14:15,312 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-08-28 02:14:15,314 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-08-28 02:14:15,314 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-08-28 02:14:15,314 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-08-28 02:14:15,315 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-08-28 02:14:15,315 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-08-28 02:14:15,316 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-08-28 02:14:15,318 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-08-28 02:14:15,318 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-08-28 02:14:15,319 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0565.fits'.
2021-08-28 02:14:15,320 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-08-28 02:14:15,320 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-08-28 02:14:15,321 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-08-28 02:14:15,321 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-08-28 02:14:15,321 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-08-28 02:14:15,322 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-08-28 02:14:15,322 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-08-28 02:14:15,322 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-08-28 02:14:15,323 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-08-28 02:14:15,324 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-08-28 02:14:15,324 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-08-28 02:14:15,324 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-08-28 02:14:15,324 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-08-28 02:14:15,325 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-08-28 02:14:15,372 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:15,373 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-08-28 02:14:15,454 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:15,456 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-08-28 02:14:15,636 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-08-28 02:14:15,694 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.019410454 -0.016139226 0.021877929 0.015048364 359.990819065 0.017621109 359.988011818 -0.013580304
2021-08-28 02:14:15,695 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.019410454 -0.016139226 0.021877929 0.015048364 359.990819065 0.017621109 359.988011818 -0.013580304
2021-08-28 02:14:15,695 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-08-28 02:14:15,726 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-08-28 02:14:15,773 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-08-28 02:14:15,850 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:15,851 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-08-28 02:14:15,951 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:15,952 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:15,952 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:15,959 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:16,059 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-08-28 02:14:16,142 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:16,144 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-08-28 02:14:16,166 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-08-28 02:14:16,166 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-08-28 02:14:16,227 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-08-28 02:14:16,228 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-08-28 02:14:16,228 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-08-28 02:14:16,228 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-08-28 02:14:16,260 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-08-28 02:14:16,262 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-08-28 02:14:16,262 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-08-28 02:14:16,272 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-08-28 02:14:16,350 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:16,352 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-08-28 02:14:16,374 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-08-28 02:14:16,469 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-08-28 02:14:17,140 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:17,551 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-08-28 02:14:18,115 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:18,526 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-08-28 02:14:19,081 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:19,493 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-08-28 02:14:20,036 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:20,463 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:20,465 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.019358561 -0.016335069 0.022108776 0.015004270 359.990738771 0.017757176 359.987988557 -0.013582163
2021-08-28 02:14:20,560 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq1_MIRIMAGE_F770Wexp1_i2d.fits
2021-08-28 02:14:20,561 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-08-28 02:14:20,561 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:20,562 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-08-28 02:14:20,691 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits
2021-08-28 02:14:20,692 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
2021-08-28 02:14:20,696 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created.
2021-08-28 02:14:20,697 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created.
2021-08-28 02:14:20,699 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created.
2021-08-28 02:14:20,700 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created.
2021-08-28 02:14:20,701 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created.
2021-08-28 02:14:20,702 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
2021-08-28 02:14:20,824 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:20,828 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpyouyqhc0/det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-08-28 02:14:20,835 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-08-28 02:14:20,838 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-08-28 02:14:20,840 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-08-28 02:14:20,840 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-08-28 02:14:20,840 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-08-28 02:14:20,840 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-08-28 02:14:20,841 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-08-28 02:14:20,841 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-08-28 02:14:20,842 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-08-28 02:14:20,842 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-08-28 02:14:20,843 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0565.fits'.
2021-08-28 02:14:20,844 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-08-28 02:14:20,844 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-08-28 02:14:20,845 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-08-28 02:14:20,845 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-08-28 02:14:20,845 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-08-28 02:14:20,846 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-08-28 02:14:20,846 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-08-28 02:14:20,846 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-08-28 02:14:20,847 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-08-28 02:14:20,847 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-08-28 02:14:20,847 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-08-28 02:14:20,848 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-08-28 02:14:20,848 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-08-28 02:14:20,848 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-08-28 02:14:20,890 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:20,891 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-08-28 02:14:20,973 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:20,974 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-08-28 02:14:21,135 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-08-28 02:14:21,184 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:21,188 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.020049595 -0.017461020 0.022517071 0.013726570 359.991458207 0.016299315 359.988650959 -0.014902098
2021-08-28 02:14:21,188 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.020049595 -0.017461020 0.022517071 0.013726570 359.991458207 0.016299315 359.988650959 -0.014902098
2021-08-28 02:14:21,188 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-08-28 02:14:21,219 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-08-28 02:14:21,266 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-08-28 02:14:21,353 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:21,354 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-08-28 02:14:21,447 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:21,448 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:21,448 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:21,454 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:21,554 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-08-28 02:14:21,636 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:21,637 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-08-28 02:14:21,659 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-08-28 02:14:21,660 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-08-28 02:14:21,722 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-08-28 02:14:21,723 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-08-28 02:14:21,723 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-08-28 02:14:21,723 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-08-28 02:14:21,753 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-08-28 02:14:21,754 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-08-28 02:14:21,755 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-08-28 02:14:21,765 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-08-28 02:14:21,844 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:21,845 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-08-28 02:14:21,867 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-08-28 02:14:21,961 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-08-28 02:14:22,535 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:22,944 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-08-28 02:14:23,524 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:23,936 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-08-28 02:14:24,480 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:24,897 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-08-28 02:14:25,440 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:25,939 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:25,942 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.019997703 -0.017656862 0.022747918 0.013682477 359.991377913 0.016435382 359.988627698 -0.014903956
2021-08-28 02:14:26,055 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq2_MIRIMAGE_F770Wexp1_i2d.fits
2021-08-28 02:14:26,056 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-08-28 02:14:26,056 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:26,058 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-08-28 02:14:26,181 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits
2021-08-28 02:14:26,181 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
2021-08-28 02:14:26,185 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created.
2021-08-28 02:14:26,186 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created.
2021-08-28 02:14:26,188 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created.
2021-08-28 02:14:26,189 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created.
2021-08-28 02:14:26,190 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created.
2021-08-28 02:14:26,191 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
2021-08-28 02:14:26,304 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:26,308 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpyouyqhc0/det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-08-28 02:14:26,314 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-08-28 02:14:26,317 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-08-28 02:14:26,319 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-08-28 02:14:26,320 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-08-28 02:14:26,320 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-08-28 02:14:26,320 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-08-28 02:14:26,321 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-08-28 02:14:26,321 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-08-28 02:14:26,322 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-08-28 02:14:26,322 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-08-28 02:14:26,323 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0565.fits'.
2021-08-28 02:14:26,324 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-08-28 02:14:26,324 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-08-28 02:14:26,325 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-08-28 02:14:26,325 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-08-28 02:14:26,325 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-08-28 02:14:26,325 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-08-28 02:14:26,326 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-08-28 02:14:26,326 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-08-28 02:14:26,327 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-08-28 02:14:26,327 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-08-28 02:14:26,327 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-08-28 02:14:26,328 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-08-28 02:14:26,328 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-08-28 02:14:26,328 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-08-28 02:14:26,366 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:26,367 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-08-28 02:14:26,450 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:26,451 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-08-28 02:14:26,608 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-08-28 02:14:26,655 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:26,659 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.020280738 -0.019911784 0.022748213 0.011275807 359.991689350 0.013848551 359.988882102 -0.017352862
2021-08-28 02:14:26,659 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.020280738 -0.019911784 0.022748213 0.011275807 359.991689350 0.013848551 359.988882102 -0.017352862
2021-08-28 02:14:26,660 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-08-28 02:14:26,690 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-08-28 02:14:26,735 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-08-28 02:14:26,815 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:26,816 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-08-28 02:14:26,905 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:26,906 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:26,906 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:26,912 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:27,012 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-08-28 02:14:27,094 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:27,095 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-08-28 02:14:27,117 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-08-28 02:14:27,118 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-08-28 02:14:27,180 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-08-28 02:14:27,180 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-08-28 02:14:27,180 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-08-28 02:14:27,181 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-08-28 02:14:27,210 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-08-28 02:14:27,211 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-08-28 02:14:27,212 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-08-28 02:14:27,221 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-08-28 02:14:27,301 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:27,302 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-08-28 02:14:27,324 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-08-28 02:14:27,417 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-08-28 02:14:27,977 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:28,389 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-08-28 02:14:28,934 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:29,345 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-08-28 02:14:29,885 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:30,292 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-08-28 02:14:30,833 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:31,259 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:31,261 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.020228846 -0.020107626 0.022979061 0.011231713 359.991609056 0.013984618 359.988858841 -0.017354721
2021-08-28 02:14:31,355 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq3_MIRIMAGE_F770Wexp1_i2d.fits
2021-08-28 02:14:31,356 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-08-28 02:14:31,356 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:31,357 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-08-28 02:14:31,486 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits
2021-08-28 02:14:31,486 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
2021-08-28 02:14:31,491 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created.
2021-08-28 02:14:31,492 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created.
2021-08-28 02:14:31,493 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created.
2021-08-28 02:14:31,494 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created.
2021-08-28 02:14:31,496 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created.
2021-08-28 02:14:31,497 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
2021-08-28 02:14:31,635 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:31,639 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpyouyqhc0/det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-08-28 02:14:31,646 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-08-28 02:14:31,649 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-08-28 02:14:31,652 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-08-28 02:14:31,652 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-08-28 02:14:31,652 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-08-28 02:14:31,653 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-08-28 02:14:31,653 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-08-28 02:14:31,654 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-08-28 02:14:31,654 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-08-28 02:14:31,655 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-08-28 02:14:31,655 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0565.fits'.
2021-08-28 02:14:31,657 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-08-28 02:14:31,657 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-08-28 02:14:31,657 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-08-28 02:14:31,658 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-08-28 02:14:31,658 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-08-28 02:14:31,658 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-08-28 02:14:31,658 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-08-28 02:14:31,659 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-08-28 02:14:31,659 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-08-28 02:14:31,660 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-08-28 02:14:31,660 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-08-28 02:14:31,660 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-08-28 02:14:31,660 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-08-28 02:14:31,661 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-08-28 02:14:31,702 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:31,703 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-08-28 02:14:31,788 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:31,790 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-08-28 02:14:31,951 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-08-28 02:14:32,003 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:32,007 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.021816605 -0.019412938 0.024284080 0.011774652 359.993225217 0.014347397 359.990417969 -0.016854016
2021-08-28 02:14:32,008 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.021816605 -0.019412938 0.024284080 0.011774652 359.993225217 0.014347397 359.990417969 -0.016854016
2021-08-28 02:14:32,008 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-08-28 02:14:32,039 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-08-28 02:14:32,088 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-08-28 02:14:32,175 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:32,176 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-08-28 02:14:32,267 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:32,268 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:32,268 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:32,275 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-08-28 02:14:32,380 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-08-28 02:14:32,466 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:32,468 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-08-28 02:14:32,493 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-08-28 02:14:32,494 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-08-28 02:14:32,558 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-08-28 02:14:32,559 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-08-28 02:14:32,559 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-08-28 02:14:32,559 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-08-28 02:14:32,589 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-08-28 02:14:32,590 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-08-28 02:14:32,591 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-08-28 02:14:32,601 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-08-28 02:14:32,688 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-08-28 02:14:32,689 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-08-28 02:14:32,711 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-08-28 02:14:32,809 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-08-28 02:14:33,376 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:33,789 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-08-28 02:14:34,357 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:34,765 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-08-28 02:14:35,295 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:35,703 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-08-28 02:14:36,229 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-08-28 02:14:36,646 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:36,648 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.021764713 -0.019608781 0.024514927 0.011730558 359.993144923 0.014483464 359.990394708 -0.016855875
2021-08-28 02:14:36,737 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq4_MIRIMAGE_F770Wexp1_i2d.fits
2021-08-28 02:14:36,738 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-08-28 02:14:36,738 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-08-28 02:14:36,739 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-08-28 02:14:36,861 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits
2021-08-28 02:14:36,861 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
[[<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits>], [<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits>], [<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits>], [<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits>]]
# use asn_from_list to create association table
calfiles = glob('*_cal.fits')
asn = asn_from_list.asn_from_list(calfiles, rule=DMS_Level3_Base, product_name='starfield_combined.fits')
# use this if you need to add non'science' exposure types
#asn['products'][0]['members'][1]['exptype'] = 'background'
#asn['products'][0]['members'][2]['exptype'] = 'sourcecat'
# dump association table to a .json file for use in image3
with open('starfield_asnfile.json', 'w') as fp:
fp.write(asn.dump()[1])
print(asn)
jwnoprogram-a3001_none_006_asn with 1 products Rule=DMS_Level3_Base No constraints Products: starfield_combined.fits with 4 members
For MIRI, the FWHM values are dependent on filter and should be set using the table below:
| Filter | FWHM |
|---|---|
| F560W | 1.636 |
| F770W | 2.187 |
| F1000W | 2.888 |
| F1130W | 3.318 |
| F1280W | 3.713 |
| F1500W | 4.354 |
| F1800W | 5.224 |
| F2100W | 5.989 |
| F2550W | 7.312 |
| F2550WR | 7.312 |
For the fit geometry keyword, the following options are available: fitgeometry: A str value indicating the type of affine transformation to be considered when fitting catalogs. Allowed values:
'shift': x/y shifts only
'rscale': rotation and scale
'rshift': rotation and shifts
'general': shift, rotation, and scale (Default=”general”)
# Run Calwebb_image3 on the association table
# set any specific parameters
# tweakreg parameters to allow data to run
fwhm = 2.187 # Gaussian kernel FWHM of objects expected, default=2.5
minobj = 5 # minimum number of objects needed to match positions for a good fit, default=15
snr = 8 # signal to noise threshold, default=5
sigma = 5 # clipping limit, in sigma units, used when performing fit, default=3
fit_geom = 'shift' # ftype of affine transformation to be considered when fitting catalogs, default='general'
use2dhist = False # boolean indicating whether to use 2D histogram to find initial offset, default=True
pipe3=Image3Pipeline()
pipe3.tweakreg.kernel_fwhm = fwhm
pipe3.tweakreg.snr_threshold = snr
pipe3.tweakreg.minobj = minobj
pipe3.tweakreg.sigma = sigma
pipe3.tweakreg.fitgeometry = fit_geom
pipe3.tweakreg.use2dhist = use2dhist
pipe3.source_catalog.save_results = True
pipe3.source_catalog.snr_threshold = snr
pipe3.source_catalog.kernel_fwhm = fwhm
pipe3.save_results = True
# run Image3
image = pipe3.run('starfield_asnfile.json')
print('Image 3 pipeline finished.')
2021-08-28 02:14:36,880 - stpipe.Image3Pipeline - INFO - Image3Pipeline instance created.
2021-08-28 02:14:36,881 - stpipe.Image3Pipeline.assign_mtwcs - INFO - AssignMTWcsStep instance created.
2021-08-28 02:14:36,883 - stpipe.Image3Pipeline.tweakreg - INFO - TweakRegStep instance created.
2021-08-28 02:14:36,884 - stpipe.Image3Pipeline.skymatch - INFO - SkyMatchStep instance created.
2021-08-28 02:14:36,885 - stpipe.Image3Pipeline.outlier_detection - INFO - OutlierDetectionStep instance created.
2021-08-28 02:14:36,886 - stpipe.Image3Pipeline.resample - INFO - ResampleStep instance created.
2021-08-28 02:14:36,888 - stpipe.Image3Pipeline.source_catalog - INFO - SourceCatalogStep instance created.
2021-08-28 02:14:36,974 - stpipe.Image3Pipeline - INFO - Step Image3Pipeline running with args ('starfield_asnfile.json',).
2021-08-28 02:14:36,980 - stpipe.Image3Pipeline - INFO - Step Image3Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'steps': {'assign_mtwcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': True, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': 'assign_mtwcs', 'search_output_file': True, 'input_dir': ''}, 'tweakreg': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': True, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_catalogs': False, 'catalog_format': 'ecsv', 'kernel_fwhm': 2.187, 'snr_threshold': 8, 'brightest': 1000, 'peakmax': None, 'enforce_user_order': False, 'expand_refcat': False, 'minobj': 5, 'searchrad': 1.0, 'use2dhist': False, 'separation': 0.5, 'tolerance': 1.0, 'xoffset': 0.0, 'yoffset': 0.0, 'fitgeometry': 'shift', 'nclip': 3, 'sigma': 5, 'align_to_gaia': False, 'gaia_catalog': 'GAIADR2', 'min_gaia': 5, 'save_gaia_catalog': False}, 'skymatch': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'skymethod': 'global+match', 'match_down': True, 'subtract': False, 'stepsize': None, 'skystat': 'mode', 'dqbits': '0', 'lower': None, 'upper': None, 'nclip': 5, 'lsigma': 4.0, 'usigma': 4.0, 'binwidth': 0.1}, 'outlier_detection': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': False, 'input_dir': '', 'weight_type': 'ivm', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'nlow': 0, 'nhigh': 0, 'maskpt': 0.7, 'grow': 1, 'snr': '5.0 4.0', 'scale': '1.2 0.7', 'backg': 0.0, 'save_intermediate_results': False, 'resample_data': True, 'good_bits': '~DO_NOT_USE', 'scale_detection': False, 'allowed_memory': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}, 'source_catalog': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'cat', 'search_output_file': True, 'input_dir': '', 'bkg_boxsize': 100, 'kernel_fwhm': 2.187, 'snr_threshold': 8, 'npixels': 5, 'deblend': False, 'aperture_ee1': 30, 'aperture_ee2': 50, 'aperture_ee3': 70, 'ci1_star_threshold': 2.0, 'ci2_star_threshold': 1.8}}}
2021-08-28 02:14:37,069 - stpipe.Image3Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits' reftypes = ['abvegaoffset', 'apcorr', 'drizpars']
2021-08-28 02:14:37,076 - stpipe.Image3Pipeline - INFO - Prefetch for ABVEGAOFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_abvegaoffset_0001.asdf'.
2021-08-28 02:14:37,077 - stpipe.Image3Pipeline - INFO - Prefetch for APCORR reference file is '/grp/crds/cache/references/jwst/jwst_miri_apcorr_0005.fits'.
2021-08-28 02:14:37,078 - stpipe.Image3Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-08-28 02:14:37,079 - stpipe.Image3Pipeline - INFO - Starting calwebb_image3 ...
2021-08-28 02:14:37,478 - stpipe.Image3Pipeline.skymatch - INFO - Step skymatch running with args (<ModelContainer>,).
2021-08-28 02:14:37,479 - stpipe.Image3Pipeline.skymatch - INFO - Step skymatch parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'skymethod': 'global+match', 'match_down': True, 'subtract': False, 'stepsize': None, 'skystat': 'mode', 'dqbits': '0', 'lower': None, 'upper': None, 'nclip': 5, 'lsigma': 4.0, 'usigma': 4.0, 'binwidth': 0.1}
2021-08-28 02:14:37,594 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,594 - stpipe.Image3Pipeline.skymatch - INFO - ***** jwst.skymatch.skymatch.match() started on 2021-08-28 02:14:37.594239
2021-08-28 02:14:37,595 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,595 - stpipe.Image3Pipeline.skymatch - INFO - Sky computation method: 'global+match'
2021-08-28 02:14:37,595 - stpipe.Image3Pipeline.skymatch - INFO - Sky matching direction: DOWN
2021-08-28 02:14:37,596 - stpipe.Image3Pipeline.skymatch - INFO - Sky subtraction from image data: OFF
2021-08-28 02:14:37,596 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,596 - stpipe.Image3Pipeline.skymatch - INFO - ---- Computing differences in sky values in overlapping regions.
2021-08-28 02:14:37,597 - stpipe.Image3Pipeline.skymatch - WARNING - * Group ID=1: Unable to compute sky value
2021-08-28 02:14:37,597 - stpipe.Image3Pipeline.skymatch - INFO - * Group ID=1. Sky background of component images:
2021-08-28 02:14:37,597 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0
2021-08-28 02:14:37,598 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0
2021-08-28 02:14:37,598 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0
2021-08-28 02:14:37,598 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0
2021-08-28 02:14:37,598 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,599 - stpipe.Image3Pipeline.skymatch - INFO - ---- Computing "global" sky - smallest sky value across *all* input images.
2021-08-28 02:14:37,675 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,676 - stpipe.Image3Pipeline.skymatch - INFO - "Global" sky value correction: 3.781010199599494 [not converted]
2021-08-28 02:14:37,677 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,677 - stpipe.Image3Pipeline.skymatch - INFO - ---- Final (match+global) sky for:
2021-08-28 02:14:37,678 - stpipe.Image3Pipeline.skymatch - INFO - * Group ID=1. Sky background of component images:
2021-08-28 02:14:37,678 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.78101 (old=0, delta=3.78101)
2021-08-28 02:14:37,678 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.78101 (old=0, delta=3.78101)
2021-08-28 02:14:37,678 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.78101 (old=0, delta=3.78101)
2021-08-28 02:14:37,679 - stpipe.Image3Pipeline.skymatch - INFO - - Image ID=det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.78101 (old=0, delta=3.78101)
2021-08-28 02:14:37,679 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,679 - stpipe.Image3Pipeline.skymatch - INFO - ***** jwst.skymatch.skymatch.match() ended on 2021-08-28 02:14:37.679591
2021-08-28 02:14:37,680 - stpipe.Image3Pipeline.skymatch - INFO - ***** jwst.skymatch.skymatch.match() TOTAL RUN TIME: 0:00:00.085352
2021-08-28 02:14:37,680 - stpipe.Image3Pipeline.skymatch - INFO -
2021-08-28 02:14:37,686 - stpipe.Image3Pipeline.skymatch - INFO - Step skymatch done
2021-08-28 02:14:37,773 - stpipe.Image3Pipeline.resample - INFO - Step resample running with args (<ModelContainer>,).
2021-08-28 02:14:37,774 - stpipe.Image3Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-08-28 02:14:37,788 - stpipe.Image3Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-08-28 02:14:37,900 - stpipe.Image3Pipeline.resample - INFO - Blending metadata for starfield_combined.fits
2021-08-28 02:14:38,436 - stpipe.Image3Pipeline.resample - INFO - Resampling science data
2021-08-28 02:14:38,999 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:39,937 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:40,892 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:41,849 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:42,261 - stpipe.Image3Pipeline.resample - INFO - Resampling var_rnoise
2021-08-28 02:14:42,809 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:43,758 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:44,705 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:45,644 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:46,095 - stpipe.Image3Pipeline.resample - INFO - Resampling var_poisson
2021-08-28 02:14:46,626 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:47,558 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:48,492 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:49,418 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:49,867 - stpipe.Image3Pipeline.resample - INFO - Resampling var_flat
2021-08-28 02:14:50,399 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:51,337 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:52,281 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:53,231 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-08-28 02:14:53,696 - stpipe.Image3Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-08-28 02:14:53,698 - stpipe.Image3Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.021512942 -0.020378333 0.024586078 0.014640772 359.990548243 0.017627796 359.987475107 -0.017391309
2021-08-28 02:14:54,074 - stpipe.Image3Pipeline.resample - INFO - Saved model in starfield_combined_i2d.fits
2021-08-28 02:14:54,075 - stpipe.Image3Pipeline.resample - INFO - Step resample done
2021-08-28 02:14:54,196 - stpipe.Image3Pipeline.source_catalog - INFO - Step source_catalog running with args (<ImageModel(1142, 1111) from starfield_combined_i2d.fits>,).
2021-08-28 02:14:54,198 - stpipe.Image3Pipeline.source_catalog - INFO - Step source_catalog parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'cat', 'search_output_file': True, 'input_dir': '', 'bkg_boxsize': 100, 'kernel_fwhm': 2.187, 'snr_threshold': 8, 'npixels': 5, 'deblend': False, 'aperture_ee1': 30, 'aperture_ee2': 50, 'aperture_ee3': 70, 'ci1_star_threshold': 2.0, 'ci2_star_threshold': 1.8}
2021-08-28 02:14:54,213 - stpipe.Image3Pipeline.source_catalog - INFO - Using APCORR reference file /grp/crds/cache/references/jwst/jwst_miri_apcorr_0005.fits
2021-08-28 02:14:54,220 - stpipe.Image3Pipeline.source_catalog - INFO - Using ABVEGAOFFSET reference file /grp/crds/cache/references/jwst/jwst_miri_abvegaoffset_0001.asdf
2021-08-28 02:14:54,221 - stpipe.Image3Pipeline.source_catalog - INFO - Instrument: MIRI
2021-08-28 02:14:54,222 - stpipe.Image3Pipeline.source_catalog - INFO - Detector: MIRIMAGE
2021-08-28 02:14:54,222 - stpipe.Image3Pipeline.source_catalog - INFO - Filter: F770W
2021-08-28 02:14:54,222 - stpipe.Image3Pipeline.source_catalog - INFO - Subarray: FULL
2021-08-28 02:14:54,259 - stpipe.Image3Pipeline.source_catalog - INFO - AB to Vega magnitude offset 4.38398
2021-08-28 02:14:54,721 - stpipe.Image3Pipeline.source_catalog - INFO - Detected 660 sources
2021-08-28 02:14:55,418 - stpipe.Image3Pipeline.source_catalog - INFO - Wrote source catalog: starfield_combined_cat.ecsv
2021-08-28 02:14:55,504 - stpipe.Image3Pipeline.source_catalog - INFO - Saved model in starfield_combined_segm.fits
2021-08-28 02:14:55,505 - stpipe.Image3Pipeline.source_catalog - INFO - Wrote segmentation map: starfield_combined_segm.fits
2021-08-28 02:14:55,506 - stpipe.Image3Pipeline.source_catalog - INFO - Step source_catalog done
2021-08-28 02:14:55,507 - stpipe.Image3Pipeline - INFO - Step Image3Pipeline done
Image 3 pipeline finished.
photfile = 'starfield_combined_cat.ecsv'
input_file = 'starfield_combined_i2d.fits'
# Look at subset of table with full columns
# If you have negative fluxes or repeated values of xcentroid or ycentroid, you may be finding spurious sources at image edges
data = table.Table.read(photfile, format='ascii', comment='#')
smalltable = data['label', 'xcentroid', 'ycentroid','aper30_flux', 'aper50_flux', 'aper70_flux', 'CI_50_30', 'CI_70_50','aper_total_flux']
smalltable.pprint_all()
#print(smalltable)
label xcentroid ycentroid aper30_flux aper50_flux aper70_flux CI_50_30 CI_70_50 aper_total_flux
Jy Jy Jy Jy
----- --------- --------- ------------- ------------- ------------- -------- -------- ---------------
1 760.3863 10.9250 1.147092e-07 2.323822e-07 1.741963e-06 2.0258 7.4961 2.553211e-06
2 789.6500 20.9315 2.284252e-06 4.419514e-06 1.463397e-05 1.9348 3.3112 2.144915e-05
3 840.4640 8.1312 2.664340e-07 5.471632e-07 1.683409e-06 2.0537 3.0766 2.467388e-06
4 938.9063 8.1575 3.211882e-07 6.840643e-07 2.616368e-06 2.1298 3.8247 3.834835e-06
5 419.1406 9.5761 5.391905e-07 9.229399e-07 2.327220e-06 1.7117 2.5215 3.411028e-06
6 441.4358 9.5360 4.573959e-07 8.020797e-07 2.447804e-06 1.7536 3.0518 3.587769e-06
7 472.6855 9.4297 4.255792e-07 7.522043e-07 2.330787e-06 1.7675 3.0986 3.416255e-06
8 495.2130 9.4236 4.420822e-07 7.224137e-07 1.935512e-06 1.6341 2.6792 2.836897e-06
9 557.8269 9.6051 2.041258e-07 4.140775e-07 1.429069e-06 2.0285 3.4512 2.094600e-06
10 580.3031 9.0000 2.934466e-07 6.271417e-07 2.056942e-06 2.1372 3.2799 3.014878e-06
11 663.9585 9.6452 1.052056e-06 1.890843e-06 4.351175e-06 1.7973 2.3012 6.377556e-06
12 553.1757 21.8264 6.838916e-07 1.426022e-06 5.995464e-06 2.0852 4.2043 8.787606e-06
13 683.8339 19.3244 3.155633e-06 5.356849e-06 9.295092e-06 1.6976 1.7352 1.362390e-05
14 753.0011 25.0025 5.419839e-07 9.826036e-07 1.756695e-06 1.8130 1.7878 2.574804e-06
15 498.4966 28.1827 4.507113e-07 7.428116e-07 1.292994e-06 1.6481 1.7407 1.895154e-06
16 812.5815 28.1216 8.421462e-07 1.382066e-06 2.373182e-06 1.6411 1.7171 3.478395e-06
17 370.9454 30.2879 4.269662e-07 6.904321e-07 1.890164e-06 1.6171 2.7377 2.770431e-06
18 385.7246 30.4154 3.649150e-07 6.154074e-07 1.899169e-06 1.6864 3.0860 2.783630e-06
19 479.2092 33.5199 5.236776e-07 8.687359e-07 1.437440e-06 1.6589 1.6546 2.106868e-06
20 711.3404 38.0171 3.617786e-06 6.267379e-06 1.059878e-05 1.7324 1.6911 1.553473e-05
21 782.2089 36.4781 5.368804e-07 8.373717e-07 1.001129e-06 1.5597 1.1956 1.467364e-06
22 765.9225 42.5812 3.104398e-05 5.154894e-05 8.512339e-05 1.6605 1.6513 1.247661e-04
23 751.1030 38.6482 4.277911e-07 7.166073e-07 1.135609e-06 1.6751 1.5847 1.664472e-06
24 846.5459 38.7780 1.035652e-06 1.713220e-06 3.113642e-06 1.6542 1.8174 4.563693e-06
25 548.6505 39.7356 1.629382e-06 2.677142e-06 4.032219e-06 1.6430 1.5062 5.910060e-06
26 743.5004 43.5080 3.467523e-07 6.320438e-07 1.542971e-06 1.8228 2.4412 2.261546e-06
27 972.6167 42.7848 3.801388e-07 6.634273e-07 1.611041e-06 1.7452 2.4284 2.361317e-06
28 353.1987 46.2107 2.894307e-06 5.104323e-06 8.976168e-06 1.7636 1.7585 1.315645e-05
29 704.1929 44.2832 6.547297e-07 1.100496e-06 1.869513e-06 1.6808 1.6988 2.740162e-06
30 996.1945 45.2972 6.890523e-07 1.171499e-06 2.128616e-06 1.7002 1.8170 3.119932e-06
31 875.3019 47.2568 1.928750e-06 3.250258e-06 5.746992e-06 1.6852 1.7682 8.423418e-06
32 580.1809 58.3812 1.156975e-05 2.121932e-05 5.193440e-05 1.8340 2.4475 7.612073e-05
33 692.1033 48.6839 1.075581e-06 1.796356e-06 2.868450e-06 1.6701 1.5968 4.204313e-06
34 555.6578 51.8530 1.125687e-06 1.898234e-06 3.143422e-06 1.6863 1.6560 4.607342e-06
35 1055.6170 52.0642 6.305128e-07 1.101237e-06 2.228049e-06 1.7466 2.0232 3.265672e-06
36 677.5064 53.6300 7.413748e-07 1.221776e-06 2.202848e-06 1.6480 1.8030 3.228734e-06
37 382.7788 54.6474 1.035645e-06 1.691197e-06 2.968189e-06 1.6330 1.7551 4.350501e-06
38 953.3006 60.2711 6.527153e-06 1.099779e-05 1.851536e-05 1.6849 1.6836 2.713813e-05
39 1034.4929 59.0542 4.449323e-07 7.646854e-07 1.425312e-06 1.7187 1.8639 2.089093e-06
40 603.8078 63.1594 5.419082e-07 9.490735e-07 1.611315e-06 1.7514 1.6978 2.361719e-06
41 598.0790 73.6850 4.248392e-07 7.467224e-07 1.168929e-06 1.7577 1.5654 1.713310e-06
42 384.4923 74.9977 2.897697e-07 5.579198e-07 1.153658e-06 1.9254 2.0678 1.690928e-06
43 393.4830 76.2343 7.133893e-07 1.160249e-06 2.000865e-06 1.6264 1.7245 2.932686e-06
44 435.3192 77.8139 6.924070e-07 1.179669e-06 2.125698e-06 1.7037 1.8019 3.115656e-06
45 582.2467 82.6705 1.120526e-05 1.829135e-05 3.023415e-05 1.6324 1.6529 4.431447e-05
46 549.8182 78.8137 3.261837e-07 5.622566e-07 8.408453e-07 1.7237 1.4955 1.232435e-06
47 378.5011 79.9651 3.835626e-07 6.552025e-07 1.235038e-06 1.7082 1.8850 1.810206e-06
48 918.0557 81.4512 9.655577e-07 1.630708e-06 2.769896e-06 1.6889 1.6986 4.059861e-06
49 715.6750 82.9914 4.337892e-07 7.373995e-07 9.676227e-07 1.6999 1.3122 1.418253e-06
50 965.0459 85.6843 5.801590e-07 1.002042e-06 1.541863e-06 1.7272 1.5387 2.259923e-06
51 1037.1687 86.3142 7.873233e-07 1.318442e-06 2.199561e-06 1.6746 1.6683 3.223917e-06
52 527.3308 94.8127 7.584926e-07 2.065902e-06 2.024066e-05 2.7237 9.7975 2.966692e-05
53 722.5054 88.0110 6.721511e-07 1.157793e-06 2.036614e-06 1.7225 1.7590 2.985084e-06
54 879.6730 87.0832 4.851271e-07 8.401588e-07 1.428531e-06 1.7318 1.7003 2.093811e-06
55 1074.3186 87.6722 7.639706e-08 2.768106e-07 3.128055e-06 3.6233 11.3003 4.584818e-06
56 935.4896 87.9031 5.129867e-07 8.638012e-07 1.426410e-06 1.6839 1.6513 2.090701e-06
57 464.0254 89.0138 3.807126e-07 6.968812e-07 1.189831e-06 1.8305 1.7074 1.743947e-06
58 486.4822 91.0497 1.092487e-06 1.815252e-06 3.205257e-06 1.6616 1.7657 4.697974e-06
59 441.5027 91.9386 2.558397e-06 3.720063e-06 4.886292e-06 1.4541 1.3135 7.161883e-06
60 1046.2466 94.7092 1.035561e-06 1.613655e-06 1.951964e-06 1.5582 1.2097 2.861011e-06
61 498.4721 96.4334 6.197264e-07 9.793045e-07 1.787095e-06 1.5802 1.8249 2.619361e-06
62 960.1176 98.8271 8.157985e-07 1.479225e-06 3.008294e-06 1.8132 2.0337 4.409284e-06
63 1071.7391 96.9511 4.869942e-07 8.766564e-07 6.631438e-07 1.8001 0.7564 9.719759e-07
64 697.5404 132.8802 1.429086e-08 3.450660e-09 -1.047389e-07 0.2415 -30.3533 -1.535167e-07
65 420.6376 105.6353 4.068215e-07 7.017663e-07 1.792347e-06 1.7250 2.5541 2.627060e-06
66 964.1110 114.8291 9.201037e-07 1.817334e-06 6.094094e-06 1.9751 3.3533 8.932170e-06
67 617.0051 113.4354 2.355716e-06 3.925164e-06 6.692943e-06 1.6662 1.7051 9.809908e-06
68 451.0929 114.3757 1.357609e-06 2.266369e-06 3.660070e-06 1.6694 1.6149 5.364598e-06
69 927.8145 115.0702 3.018901e-06 5.370451e-06 9.054566e-06 1.7789 1.6860 1.327136e-05
70 387.5459 114.9315 6.867778e-07 1.185275e-06 2.216925e-06 1.7259 1.8704 3.249367e-06
71 567.7537 119.3147 1.405410e-06 2.366820e-06 4.001083e-06 1.6841 1.6905 5.864424e-06
72 670.4665 119.9846 8.196096e-07 1.377221e-06 2.348908e-06 1.6803 1.7055 3.442816e-06
73 746.9844 121.4726 1.043138e-06 1.789966e-06 2.987140e-06 1.7159 1.6688 4.378278e-06
74 884.7042 129.7300 2.313522e-05 3.878409e-05 6.651692e-05 1.6764 1.7151 9.749446e-05
75 837.3155 128.2684 2.719113e-06 4.484132e-06 7.594262e-06 1.6491 1.6936 1.113098e-05
76 971.0198 127.8011 4.462753e-07 7.887223e-07 1.540469e-06 1.7673 1.9531 2.257880e-06
77 562.9759 128.6945 4.241836e-07 7.498895e-07 1.330219e-06 1.7678 1.7739 1.949714e-06
78 411.0232 130.3017 4.813260e-07 8.306517e-07 1.524744e-06 1.7258 1.8356 2.234831e-06
79 752.0514 134.6961 4.265240e-06 7.211639e-06 1.170314e-05 1.6908 1.6228 1.715340e-05
80 1062.0043 143.6191 3.415318e-07 7.498477e-07 4.645490e-06 2.1955 6.1952 6.808937e-06
81 534.9702 136.6409 1.172105e-06 2.059840e-06 3.515817e-06 1.7574 1.7068 5.153165e-06
82 673.4967 135.9887 8.187799e-07 1.393808e-06 2.134237e-06 1.7023 1.5312 3.128171e-06
83 726.0080 139.4584 3.666552e-07 6.493978e-07 1.267425e-06 1.7711 1.9517 1.857677e-06
84 542.4712 148.7691 2.067418e-05 3.493732e-05 6.279909e-05 1.6899 1.7975 9.204519e-05
85 1018.3250 144.0942 5.690580e-07 9.841189e-07 1.658099e-06 1.7294 1.6849 2.430291e-06
86 462.3018 148.5062 3.495748e-06 4.981784e-06 6.602269e-06 1.4251 1.3253 9.677006e-06
87 600.7986 148.1874 8.488683e-07 1.492914e-06 2.509161e-06 1.7587 1.6807 3.677700e-06
88 740.0395 148.7284 3.631084e-06 6.216661e-06 1.017069e-05 1.7121 1.6360 1.490728e-05
89 665.0195 151.5282 7.260372e-07 1.257515e-06 2.169783e-06 1.7320 1.7255 3.180271e-06
90 358.4593 154.7164 5.933650e-06 9.767910e-06 1.672016e-05 1.6462 1.7117 2.450689e-05
91 499.9969 153.1885 4.773011e-07 8.447352e-07 1.462648e-06 1.7698 1.7315 2.143817e-06
92 525.3260 177.2339 8.914157e-08 2.241746e-07 2.430033e-06 2.5148 10.8399 3.561722e-06
93 917.2238 159.2218 1.915254e-06 3.195383e-06 5.113727e-06 1.6684 1.6003 7.495237e-06
94 836.2105 165.6687 4.641788e-06 8.353359e-06 2.087596e-05 1.7996 2.4991 3.059809e-05
95 463.9366 165.2873 4.428760e-06 8.000034e-06 1.631981e-05 1.8064 2.0400 2.392010e-05
96 642.2214 164.5891 3.990561e-06 6.519247e-06 1.113788e-05 1.6337 1.7085 1.632489e-05
97 695.9784 163.2967 1.915274e-07 3.323242e-07 5.263526e-07 1.7351 1.5839 7.714799e-07
98 652.1283 166.7616 4.263747e-06 7.294377e-06 1.235397e-05 1.7108 1.6936 1.810733e-05
99 672.0858 167.1917 2.425220e-06 3.412102e-06 3.953231e-06 1.4069 1.1586 5.794286e-06
100 915.4845 165.9934 4.295914e-07 7.323025e-07 1.210588e-06 1.7046 1.6531 1.774370e-06
101 367.0008 167.0273 3.875462e-07 7.089602e-07 1.410370e-06 1.8294 1.9894 2.067193e-06
102 747.1784 170.1703 6.479366e-07 1.123746e-06 2.031900e-06 1.7343 1.8081 2.978175e-06
103 505.2071 173.1754 1.043118e-06 1.794226e-06 2.890461e-06 1.7201 1.6110 4.236575e-06
104 682.7691 186.3708 -2.682106e-08 -1.930600e-08 1.579044e-06 0.7198 -81.7903 2.314419e-06
105 958.1912 173.3884 4.722064e-07 7.963365e-07 1.467346e-06 1.6864 1.8426 2.150702e-06
106 840.0741 175.4763 5.388611e-07 8.970620e-07 1.812884e-06 1.6647 2.0209 2.657161e-06
107 999.9399 179.7025 2.797891e-06 4.980839e-06 8.739085e-06 1.7802 1.7545 1.280896e-05
108 770.9681 180.9645 5.057947e-07 9.220530e-07 1.723408e-06 1.8230 1.8691 2.526015e-06
109 438.0167 182.3140 4.816566e-07 8.506529e-07 1.523238e-06 1.7661 1.7907 2.232623e-06
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269 717.9900 515.9552 4.110298e-07 7.557624e-07 1.415514e-06 1.8387 1.8730 2.074731e-06
270 1049.0066 517.9247 2.197196e-06 3.933302e-06 6.298307e-06 1.7901 1.6013 9.231485e-06
271 1098.8423 516.9642 5.536863e-07 1.108410e-06 3.587490e-06 2.0019 3.2366 5.258217e-06
272 722.6893 516.9932 3.908407e-07 6.923507e-07 1.391799e-06 1.7714 2.0103 2.039973e-06
273 372.1121 518.4451 9.178194e-07 1.489677e-06 2.389709e-06 1.6231 1.6042 3.502618e-06
274 393.1220 524.8658 6.393824e-06 1.132779e-05 1.925869e-05 1.7717 1.7001 2.822764e-05
275 530.3107 526.3485 1.229140e-06 2.026086e-06 3.390852e-06 1.6484 1.6736 4.970003e-06
276 607.3053 525.3094 7.359876e-07 1.219326e-06 2.034246e-06 1.6567 1.6683 2.981613e-06
277 1058.8894 529.9624 2.059540e-06 3.847524e-06 9.879530e-06 1.8681 2.5678 1.448052e-05
278 416.5884 526.6986 1.549695e-06 2.466339e-06 4.160890e-06 1.5915 1.6871 6.098655e-06
279 699.6194 527.6274 4.451086e-07 7.790066e-07 1.825095e-06 1.7501 2.3428 2.675058e-06
280 898.8373 527.5098 1.329161e-06 2.254717e-06 3.995628e-06 1.6963 1.7721 5.856428e-06
281 484.4137 532.1019 6.123714e-06 1.025961e-05 1.714505e-05 1.6754 1.6711 2.512965e-05
282 701.5793 536.1184 1.654277e-06 2.773116e-06 4.748138e-06 1.6763 1.7122 6.959389e-06
283 842.9601 535.9472 1.036648e-06 1.870645e-06 3.038605e-06 1.8045 1.6244 4.453711e-06
284 393.9685 536.7306 4.359738e-07 7.573841e-07 1.351312e-06 1.7372 1.7842 1.980631e-06
285 892.8557 540.8831 5.892417e-06 1.034340e-05 1.724736e-05 1.7554 1.6675 2.527961e-05
286 440.8104 571.4298 3.094925e-06 6.244769e-06 2.417074e-05 2.0177 3.8706 3.542727e-05
287 705.1145 553.9653 1.861498e-06 3.653218e-06 1.194815e-05 1.9625 3.2706 1.751252e-05
288 1083.3697 543.2961 7.189312e-07 1.228550e-06 2.201019e-06 1.7089 1.7916 3.226053e-06
289 906.1606 549.1999 7.087728e-06 1.246930e-05 2.162552e-05 1.7593 1.7343 3.169672e-05
290 384.6528 547.2502 5.543876e-07 9.672315e-07 1.903110e-06 1.7447 1.9676 2.789406e-06
291 642.4945 548.0238 5.056191e-07 9.160271e-07 2.380758e-06 1.8117 2.5990 3.489499e-06
292 996.2345 548.5524 8.637287e-07 1.467107e-06 2.569579e-06 1.6986 1.7515 3.766256e-06
293 869.8180 551.5282 5.157997e-07 7.856733e-07 1.656537e-06 1.5232 2.1084 2.428002e-06
294 1093.3614 556.4447 8.296011e-06 1.308674e-05 2.365089e-05 1.5775 1.8072 3.466532e-05
295 579.1176 553.3873 7.366840e-07 1.227397e-06 2.097193e-06 1.6661 1.7087 3.073875e-06
296 977.9680 556.3341 1.019621e-06 1.753744e-06 2.843451e-06 1.7200 1.6214 4.167672e-06
297 615.3438 557.8571 2.776279e-06 4.731370e-06 8.206124e-06 1.7042 1.7344 1.202779e-05
298 1027.8358 557.1115 2.189427e-06 3.859932e-06 6.474884e-06 1.7630 1.6775 9.490296e-06
299 458.4874 558.0510 4.257506e-07 7.201864e-07 1.172430e-06 1.6916 1.6280 1.718441e-06
300 729.3251 557.9973 4.595974e-07 7.867691e-07 1.363778e-06 1.7119 1.7334 1.998902e-06
301 528.3189 559.7784 6.559099e-07 1.092817e-06 1.807016e-06 1.6661 1.6535 2.648560e-06
302 406.1186 562.0719 9.844059e-07 1.749288e-06 2.885419e-06 1.7770 1.6495 4.229185e-06
303 935.1626 562.2645 1.368297e-06 2.304373e-06 3.753516e-06 1.6841 1.6289 5.501563e-06
304 955.2198 563.6310 3.219556e-06 5.445868e-06 9.390811e-06 1.6915 1.7244 1.376420e-05
305 528.2170 566.5005 5.430384e-07 8.962515e-07 1.546042e-06 1.6504 1.7250 2.266047e-06
306 460.5865 573.3380 4.800737e-06 7.946535e-06 1.398765e-05 1.6553 1.7602 2.050182e-05
307 1075.5858 577.7196 5.593537e-07 9.170803e-07 1.474283e-06 1.6395 1.6076 2.160869e-06
308 998.0018 577.9667 4.037968e-07 7.336559e-07 1.198986e-06 1.8169 1.6343 1.757365e-06
309 596.2992 582.3289 7.066409e-07 1.187955e-06 2.032250e-06 1.6811 1.7107 2.978688e-06
310 865.7874 597.9850 5.374878e-07 1.074878e-06 1.271207e-05 1.9998 11.8265 1.863220e-05
311 894.1846 592.4968 4.070977e-07 5.970171e-07 1.466324e-06 1.4665 2.4561 2.149204e-06
312 635.4135 592.8280 1.168016e-06 1.960313e-06 3.413308e-06 1.6783 1.7412 5.002916e-06
313 886.0066 593.2301 1.370185e-06 2.405711e-06 4.129358e-06 1.7558 1.7165 6.052438e-06
314 948.7271 594.7127 1.089855e-06 1.801921e-06 2.939756e-06 1.6534 1.6315 4.308827e-06
315 350.9464 601.6668 1.234302e-06 2.124799e-06 3.456208e-06 1.7215 1.6266 5.065795e-06
316 920.3749 604.1239 7.691521e-07 1.300974e-06 2.230264e-06 1.6914 1.7143 3.268918e-06
317 936.8257 603.8381 3.658200e-07 6.607774e-07 1.193224e-06 1.8063 1.8058 1.748920e-06
318 842.8585 605.1471 3.706989e-07 6.534269e-07 1.035711e-06 1.7627 1.5850 1.518051e-06
319 1075.2271 609.2124 1.356334e-05 2.323651e-05 3.910109e-05 1.7132 1.6827 5.731082e-05
320 649.9951 605.9819 3.681952e-07 6.802548e-07 1.207301e-06 1.8475 1.7748 1.769552e-06
321 478.4733 609.5013 5.972701e-07 9.692795e-07 1.757819e-06 1.6228 1.8135 2.576451e-06
322 497.0795 610.7971 8.871650e-07 1.560240e-06 2.586168e-06 1.7587 1.6575 3.790570e-06
323 730.5962 619.4830 1.220386e-06 2.417688e-06 2.184553e-05 1.9811 9.0357 3.201920e-05
324 522.3457 616.5531 1.401846e-06 2.223623e-06 3.715235e-06 1.5862 1.6708 5.445454e-06
325 611.1728 615.1602 4.937869e-07 8.453685e-07 1.321896e-06 1.7120 1.5637 1.937515e-06
326 1092.3326 626.1829 1.281082e-06 2.351207e-06 7.071343e-06 1.8353 3.0075 1.036453e-05
327 444.3791 620.2191 1.243657e-06 2.077703e-06 3.890766e-06 1.6706 1.8726 5.702732e-06
328 791.0459 618.5001 4.049320e-07 6.831620e-07 1.137514e-06 1.6871 1.6651 1.667265e-06
329 848.7426 619.5499 7.705350e-07 1.239929e-06 2.283128e-06 1.6092 1.8413 3.346402e-06
330 763.0432 624.6680 3.989823e-07 6.784213e-07 1.192205e-06 1.7004 1.7573 1.747426e-06
331 573.1194 630.6945 5.228406e-06 1.057138e-05 3.311144e-05 2.0219 3.1322 4.853175e-05
332 559.8010 628.1900 4.112743e-07 6.837391e-07 9.574918e-07 1.6625 1.4004 1.403404e-06
333 591.5734 630.4880 5.656627e-07 9.050428e-07 1.646091e-06 1.6000 1.8188 2.412690e-06
334 995.7290 633.4153 5.496730e-06 8.957234e-06 1.524162e-05 1.6296 1.7016 2.233978e-05
335 438.6305 633.6979 5.465945e-07 9.477295e-07 1.728603e-06 1.7339 1.8239 2.533629e-06
336 553.0913 634.6642 6.104877e-07 1.042237e-06 1.724632e-06 1.7072 1.6547 2.527809e-06
337 403.9679 641.3029 4.582451e-06 8.118100e-06 1.388975e-05 1.7716 1.7110 2.035833e-05
338 733.9984 640.5384 5.833734e-07 9.866247e-07 1.703680e-06 1.6912 1.7268 2.497100e-06
339 767.7208 642.0185 4.497347e-07 7.779960e-07 1.308636e-06 1.7299 1.6821 1.918080e-06
340 887.0690 642.9899 4.834300e-07 8.829424e-07 1.499499e-06 1.8264 1.6983 2.197829e-06
341 482.7551 645.7119 2.891606e-06 4.349872e-06 5.985993e-06 1.5043 1.3761 8.773724e-06
342 993.4226 646.2795 1.848173e-06 3.226535e-06 7.416563e-06 1.7458 2.2986 1.087052e-05
343 750.5453 646.5532 6.849450e-07 1.066068e-06 1.991809e-06 1.5564 1.8684 2.919412e-06
344 932.7015 646.8713 1.085787e-06 1.856687e-06 3.018772e-06 1.7100 1.6259 4.424642e-06
345 736.3303 647.6349 5.875421e-07 9.839696e-07 1.816112e-06 1.6747 1.8457 2.661892e-06
346 574.8320 653.1343 1.102571e-05 1.933857e-05 3.231450e-05 1.7540 1.6710 4.736366e-05
347 939.7430 655.4718 6.727207e-07 1.139769e-06 2.029765e-06 1.6943 1.7809 2.975044e-06
348 553.5869 660.1931 8.377102e-06 1.524786e-05 3.538156e-05 1.8202 2.3204 5.185908e-05
349 369.1591 662.8682 3.994499e-06 6.985100e-06 1.128159e-05 1.7487 1.6151 1.653554e-05
350 1075.2881 663.1405 4.408225e-06 7.624972e-06 1.285553e-05 1.7297 1.6860 1.884247e-05
351 867.7249 662.0023 4.327765e-07 7.577722e-07 1.329500e-06 1.7510 1.7545 1.948661e-06
352 765.3512 664.6550 2.188349e-06 3.485394e-06 5.705027e-06 1.5927 1.6368 8.361910e-06
353 999.8023 669.1573 5.140371e-06 8.940456e-06 1.517825e-05 1.7393 1.6977 2.224690e-05
354 653.8680 671.8003 5.040428e-07 8.783956e-07 1.643777e-06 1.7427 1.8713 2.409298e-06
355 1099.6407 674.2393 4.293813e-07 7.879933e-07 1.586149e-06 1.8352 2.0129 2.324833e-06
356 568.9197 678.5476 3.616372e-06 5.284708e-06 7.358594e-06 1.4613 1.3924 1.078556e-05
357 840.4631 683.1085 7.526713e-06 1.263595e-05 2.198569e-05 1.6788 1.7399 3.222463e-05
358 663.2186 682.1861 1.128165e-06 1.974214e-06 3.405580e-06 1.7499 1.7250 4.991590e-06
359 797.2893 693.1372 2.782525e-05 4.818732e-05 8.370998e-05 1.7318 1.7372 1.226945e-04
360 412.3566 689.1501 8.408504e-07 1.205715e-06 1.362219e-06 1.4339 1.1298 1.996616e-06
361 522.7265 690.3380 1.120644e-06 1.868389e-06 3.505985e-06 1.6672 1.8765 5.138754e-06
362 752.2751 693.3807 2.073469e-06 3.799449e-06 1.022937e-05 1.8324 2.6923 1.499329e-05
363 766.9596 692.0357 2.257139e-07 4.328190e-07 1.517184e-06 1.9176 3.5054 2.223750e-06
364 729.4965 694.7592 7.504799e-07 1.219151e-06 2.029497e-06 1.6245 1.6647 2.974652e-06
365 770.5779 696.8397 3.834464e-07 7.333254e-07 1.829298e-06 1.9125 2.4945 2.681219e-06
366 651.5166 700.8421 2.176515e-06 4.118797e-06 1.233592e-05 1.8924 2.9950 1.808087e-05
367 1094.7039 698.9896 5.277185e-07 9.081271e-07 1.552806e-06 1.7209 1.7099 2.275961e-06
368 630.2254 709.9662 5.087315e-06 7.801690e-06 1.089180e-05 1.5336 1.3961 1.596420e-05
369 742.9831 706.2692 2.698311e-07 4.767221e-07 8.592926e-07 1.7667 1.8025 1.259473e-06
370 761.9239 708.0223 1.127829e-06 2.022796e-06 3.250622e-06 1.7935 1.6070 4.764467e-06
371 742.5553 715.3987 1.746586e-05 2.843896e-05 5.085986e-05 1.6283 1.7884 7.454575e-05
372 804.3114 712.3290 3.688920e-07 6.742467e-07 1.860742e-06 1.8278 2.7597 2.727306e-06
373 837.9712 714.5811 3.219194e-06 5.874464e-06 1.226135e-05 1.8248 2.0872 1.797158e-05
374 990.9978 711.6718 5.423596e-07 9.301967e-07 1.582473e-06 1.7151 1.7012 2.319445e-06
375 792.7693 713.3317 4.810292e-07 8.171136e-07 1.522454e-06 1.6987 1.8632 2.231474e-06
376 1080.7984 713.2854 8.450476e-07 1.437077e-06 2.235945e-06 1.7006 1.5559 3.277244e-06
377 591.4507 718.5452 6.082854e-06 9.592877e-06 1.650901e-05 1.5770 1.7210 2.419741e-05
378 511.4135 723.0825 1.085560e-06 2.032148e-06 5.588630e-06 1.8720 2.7501 8.191306e-06
379 893.9975 722.2647 4.373394e-07 7.738838e-07 1.225054e-06 1.7695 1.5830 1.795573e-06
380 1100.0000 723.9591 4.302603e-07 8.314522e-07 1.795153e-06 1.9324 2.1591 2.631173e-06
381 574.9293 727.3862 3.647634e-07 6.818797e-07 1.673775e-06 1.8694 2.4546 2.453267e-06
382 683.7099 734.3080 9.207369e-06 1.612636e-05 3.674879e-05 1.7515 2.2788 5.386303e-05
383 966.6761 730.3504 6.138948e-06 9.892615e-06 1.675346e-05 1.6115 1.6935 2.455569e-05
384 773.2238 764.9377 1.283129e-07 2.756060e-07 2.470635e-06 2.1479 8.9644 3.621232e-06
385 396.2322 735.2791 4.460432e-06 8.103826e-06 2.160972e-05 1.8168 2.6666 3.167357e-05
386 757.0125 731.0173 4.618443e-07 8.486636e-07 1.379995e-06 1.8376 1.6261 2.022671e-06
387 659.6739 734.4707 1.180691e-06 1.964232e-06 3.563066e-06 1.6636 1.8140 5.222419e-06
388 801.2759 733.5165 9.381259e-07 1.541040e-06 2.666273e-06 1.6427 1.7302 3.907981e-06
389 990.6010 733.1110 7.922872e-07 1.327905e-06 2.295268e-06 1.6760 1.7285 3.364195e-06
390 794.9669 735.7627 5.160529e-07 9.176964e-07 1.609415e-06 1.7783 1.7538 2.358935e-06
391 615.4826 740.7083 4.067312e-07 8.096680e-07 3.531575e-06 1.9907 4.3618 5.176262e-06
392 571.3725 737.9150 5.847071e-07 9.891267e-07 1.622673e-06 1.6917 1.6405 2.378367e-06
393 991.1285 738.8802 7.745245e-07 1.363039e-06 2.309281e-06 1.7598 1.6942 3.384734e-06
394 423.1337 741.9465 3.559294e-06 6.359702e-06 1.066341e-05 1.7868 1.6767 1.562946e-05
395 816.8073 743.5124 1.224355e-06 2.013446e-06 3.349989e-06 1.6445 1.6638 4.910110e-06
396 840.2974 746.2701 1.743682e-06 2.969268e-06 5.295546e-06 1.7029 1.7835 7.761730e-06
397 1013.7552 747.7634 5.511635e-06 9.379074e-06 1.644155e-05 1.7017 1.7530 2.409853e-05
398 359.3993 746.9853 1.334718e-06 2.244487e-06 3.711248e-06 1.6816 1.6535 5.439611e-06
399 589.5555 748.4810 1.445076e-06 1.865126e-06 2.097949e-06 1.2907 1.1248 3.074983e-06
400 702.0019 748.5254 5.621727e-07 9.478367e-07 1.561404e-06 1.6860 1.6473 2.288564e-06
401 830.8795 748.8893 5.400068e-07 8.424470e-07 1.305873e-06 1.5601 1.5501 1.914030e-06
402 793.8536 750.8341 4.566996e-07 7.945770e-07 1.321930e-06 1.7398 1.6637 1.937565e-06
403 475.9756 752.3265 5.874489e-07 9.746458e-07 1.498791e-06 1.6591 1.5378 2.196791e-06
404 936.4799 758.7561 9.511997e-07 1.542216e-06 2.629675e-06 1.6213 1.7051 3.854338e-06
405 858.2950 762.9920 4.517826e-07 7.855219e-07 1.278486e-06 1.7387 1.6276 1.873888e-06
406 617.3476 766.9192 1.127020e-06 1.952383e-06 3.394922e-06 1.7323 1.7389 4.975968e-06
407 93.0247 767.2884 4.791231e-07 8.862232e-07 1.479756e-06 1.8497 1.6697 2.168892e-06
408 316.8736 769.7824 6.516812e-06 1.166334e-05 2.080537e-05 1.7897 1.7838 3.049462e-05
409 392.3370 768.6481 2.271990e-06 3.614326e-06 5.596350e-06 1.5908 1.5484 8.202621e-06
410 147.5237 770.2588 8.419844e-07 1.379169e-06 2.085264e-06 1.6380 1.5120 3.056390e-06
411 592.2461 769.9863 4.523319e-07 7.873239e-07 1.312848e-06 1.7406 1.6675 1.924253e-06
412 59.2849 778.4238 1.502679e-05 2.629202e-05 6.048379e-05 1.7497 2.3005 8.865165e-05
413 198.4893 775.0437 1.687637e-06 2.778496e-06 3.438273e-06 1.6464 1.2375 5.039508e-06
414 732.9327 777.9463 7.775309e-07 1.535865e-06 5.038252e-06 1.9753 3.2804 7.384612e-06
415 997.2391 782.9791 1.869383e-06 3.575277e-06 1.028273e-05 1.9125 2.8761 1.507149e-05
416 3.9271 781.7652 1.669937e-05 3.245922e-05 8.816613e-05 1.9437 2.7162 1.292259e-04
417 561.1060 779.7773 1.929848e-06 3.383638e-06 5.646897e-06 1.7533 1.6689 8.276709e-06
418 507.9504 780.6717 1.780924e-06 3.023571e-06 5.058700e-06 1.6978 1.6731 7.414582e-06
419 843.8858 780.8602 1.765818e-06 3.164019e-06 5.486842e-06 1.7918 1.7341 8.042114e-06
420 979.1382 781.3700 8.940125e-07 1.520749e-06 2.659509e-06 1.7010 1.7488 3.898066e-06
421 1096.0624 781.2102 6.491664e-07 1.160797e-06 2.230792e-06 1.7881 1.9218 3.269692e-06
422 702.2115 786.4331 1.229186e-06 2.040328e-06 3.403584e-06 1.6599 1.6682 4.988664e-06
423 146.0995 787.1601 9.532464e-07 1.450570e-06 1.824156e-06 1.5217 1.2575 2.673682e-06
424 491.6518 790.2514 1.562443e-06 2.561751e-06 4.137668e-06 1.6396 1.6152 6.064617e-06
425 560.9676 792.7987 1.126425e-05 1.988451e-05 3.310174e-05 1.7653 1.6647 4.851751e-05
426 855.2378 789.6056 4.170288e-07 5.998194e-07 8.852966e-07 1.4383 1.4759 1.297587e-06
427 20.6194 795.1195 1.456219e-05 2.439768e-05 4.011263e-05 1.6754 1.6441 5.879344e-05
428 1097.7176 792.7085 3.706431e-06 6.149792e-06 1.084650e-05 1.6592 1.7637 1.589782e-05
429 582.5953 794.0166 4.600930e-06 7.752948e-06 1.279614e-05 1.6851 1.6505 1.875541e-05
430 480.1301 794.1721 1.561918e-06 2.702229e-06 4.358841e-06 1.7301 1.6131 6.388793e-06
431 615.6960 792.9292 4.451353e-07 7.777306e-07 1.324410e-06 1.7472 1.7029 1.941199e-06
432 1081.0343 793.2873 5.349124e-07 9.377177e-07 1.392827e-06 1.7530 1.4853 2.041479e-06
433 306.3809 796.1719 4.344591e-06 7.306906e-06 1.271610e-05 1.6818 1.7403 1.863811e-05
434 695.1791 794.9834 6.862744e-07 1.212849e-06 1.964579e-06 1.7673 1.6198 2.879502e-06
435 152.2549 796.4821 9.489966e-07 1.523925e-06 2.535972e-06 1.6058 1.6641 3.716998e-06
436 539.9155 800.6784 4.532426e-06 7.727740e-06 1.295147e-05 1.7050 1.6760 1.898309e-05
437 570.2150 802.4782 2.571146e-05 4.201256e-05 7.121699e-05 1.6340 1.6951 1.043834e-04
438 858.1878 797.5840 4.429328e-07 5.188682e-07 5.404437e-07 1.1714 1.0416 7.921333e-07
439 1018.3729 798.7467 1.104192e-06 1.864041e-06 3.309768e-06 1.6881 1.7756 4.851156e-06
440 426.5390 800.7941 2.005063e-06 3.330260e-06 5.867197e-06 1.6609 1.7618 8.599605e-06
441 918.0080 802.4159 8.535295e-07 1.545915e-06 3.760423e-06 1.8112 2.4325 5.511687e-06
442 625.6320 803.4951 2.671720e-06 4.197845e-06 7.118397e-06 1.5712 1.6957 1.043350e-05
443 872.0631 806.2943 1.818445e-05 3.235874e-05 5.659208e-05 1.7795 1.7489 8.294752e-05
444 933.1245 806.3677 1.616401e-06 3.200100e-06 1.246433e-05 1.9798 3.8950 1.826908e-05
445 229.1403 804.1725 6.530265e-07 1.141020e-06 1.823379e-06 1.7473 1.5980 2.672543e-06
446 615.4480 808.8939 7.956448e-06 1.349395e-05 2.350848e-05 1.6960 1.7421 3.445660e-05
447 857.3244 813.6391 1.337245e-05 2.263035e-05 4.832957e-05 1.6923 2.1356 7.083709e-05
448 314.1291 806.8029 6.184180e-07 1.061910e-06 1.730033e-06 1.7171 1.6292 2.535725e-06
449 371.6814 807.9116 4.905522e-07 8.324853e-07 1.441889e-06 1.6970 1.7320 2.113389e-06
450 468.6261 808.3928 1.202893e-06 1.905655e-06 3.186759e-06 1.5842 1.6723 4.670861e-06
451 717.0191 810.9634 6.272630e-07 1.133133e-06 1.878020e-06 1.8065 1.6574 2.752632e-06
452 653.6737 811.5540 6.665086e-07 9.469391e-07 1.286877e-06 1.4207 1.3590 1.886187e-06
453 642.1791 814.8221 3.955150e-07 7.036785e-07 1.243550e-06 1.7791 1.7672 1.822682e-06
454 604.9962 821.5367 5.019937e-07 1.271826e-06 1.888994e-05 2.5335 14.8526 2.768716e-05
455 634.1682 817.7511 2.192890e-06 3.750399e-06 6.292668e-06 1.7103 1.6779 9.223221e-06
456 899.5058 815.9911 5.377445e-07 8.831815e-07 1.453119e-06 1.6424 1.6453 2.129849e-06
457 38.9716 821.9236 3.156428e-06 6.641494e-06 2.658234e-05 2.1041 4.0025 3.896198e-05
458 688.9871 818.0587 6.062289e-07 1.087092e-06 1.908190e-06 1.7932 1.7553 2.796851e-06
459 834.3190 823.1600 1.146098e-05 1.951156e-05 3.337793e-05 1.7024 1.7107 4.892233e-05
460 937.0290 820.3167 4.931764e-07 8.404892e-07 1.440845e-06 1.7042 1.7143 2.111860e-06
461 1055.2059 822.5041 7.849943e-07 1.298306e-06 2.176759e-06 1.6539 1.6766 3.190496e-06
462 1008.5383 827.4034 1.820462e-06 2.867359e-06 5.026479e-06 1.5751 1.7530 7.367355e-06
463 1028.5184 828.0177 5.467279e-07 9.179861e-07 1.444821e-06 1.6791 1.5739 2.117687e-06
464 912.9957 833.1126 7.996306e-07 1.531079e-06 4.239249e-06 1.9147 2.7688 6.213506e-06
465 814.7112 831.7132 8.190410e-07 1.361875e-06 2.145983e-06 1.6628 1.5758 3.145387e-06
466 119.4677 835.5830 1.619300e-05 2.593863e-05 4.596920e-05 1.6018 1.7722 6.737748e-05
467 973.0738 838.5416 2.777221e-05 4.670256e-05 8.169367e-05 1.6816 1.7492 1.197392e-04
468 322.9812 840.4574 5.570409e-08 1.266553e-07 3.645217e-06 2.2737 28.7806 5.342828e-06
469 103.7674 836.5183 8.847140e-07 1.469602e-06 2.689912e-06 1.6611 1.8304 3.942629e-06
470 572.2599 840.2213 5.961114e-06 1.048283e-05 2.345640e-05 1.7585 2.2376 3.438026e-05
471 514.7172 836.4226 5.245295e-07 8.503736e-07 1.465289e-06 1.6212 1.7231 2.147687e-06
472 784.0466 843.4459 4.396791e-06 8.246739e-06 2.216159e-05 1.8756 2.6873 3.248244e-05
473 36.2220 838.4574 4.044761e-07 7.104572e-07 1.981426e-06 1.7565 2.7889 2.904194e-06
474 476.9261 856.2311 5.070440e-07 1.153558e-06 1.013296e-05 2.2751 8.7841 1.485198e-05
475 726.8742 840.8221 6.001839e-07 1.048743e-06 1.736220e-06 1.7474 1.6555 2.544793e-06
476 674.0959 844.3892 3.659558e-07 7.667132e-07 2.810049e-06 2.0951 3.6651 4.118714e-06
477 57.5017 850.9659 6.352760e-07 1.033661e-06 1.560422e-06 1.6271 1.5096 2.287125e-06
478 1036.4641 852.3171 1.421812e-06 2.327224e-06 4.023117e-06 1.6368 1.7287 5.896719e-06
479 426.8140 852.3378 7.296463e-07 1.232843e-06 2.179808e-06 1.6896 1.7681 3.194964e-06
480 502.9765 853.5157 1.059580e-06 1.804070e-06 3.000921e-06 1.7026 1.6634 4.398477e-06
481 557.3100 855.8723 6.097347e-07 1.141767e-06 3.168386e-06 1.8726 2.7750 4.643932e-06
482 1068.0071 855.9450 3.406252e-06 6.101304e-06 1.009942e-05 1.7912 1.6553 1.480281e-05
483 803.4298 866.6518 3.002390e-05 4.968082e-05 9.426699e-05 1.6547 1.8975 1.381680e-04
484 19.8467 858.5792 1.256911e-06 2.038786e-06 3.317803e-06 1.6221 1.6273 4.862934e-06
485 670.9987 858.0112 6.675031e-07 9.581066e-07 1.442380e-06 1.4354 1.5054 2.114110e-06
486 1088.0230 858.6835 6.456708e-07 1.096391e-06 1.797956e-06 1.6981 1.6399 2.635281e-06
487 645.4436 868.2485 8.135267e-06 1.359426e-05 2.448024e-05 1.6710 1.8008 3.588091e-05
488 551.2873 870.9404 5.999370e-06 1.044204e-05 1.761568e-05 1.7405 1.6870 2.581946e-05
489 873.5174 872.1742 2.157344e-06 4.355787e-06 1.508054e-05 2.0191 3.4622 2.210368e-05
490 934.6368 871.5370 6.011811e-07 1.001616e-06 2.101233e-06 1.6661 2.0978 3.079797e-06
491 927.4131 873.1241 7.981376e-07 1.359105e-06 2.442011e-06 1.7028 1.7968 3.579278e-06
492 8.1586 874.1365 6.540487e-07 1.139067e-06 2.023337e-06 1.7416 1.7763 2.965623e-06
493 983.1955 880.3089 3.105333e-05 5.256446e-05 8.896030e-05 1.6927 1.6924 1.303899e-04
494 555.6605 878.0768 1.176372e-06 2.011104e-06 3.440545e-06 1.7096 1.7108 5.042838e-06
495 198.8296 880.0603 1.596473e-06 2.795173e-06 4.446868e-06 1.7508 1.5909 6.517815e-06
496 442.7325 879.5500 7.899136e-07 1.334248e-06 2.323481e-06 1.6891 1.7414 3.405547e-06
497 1058.8518 880.7958 2.120377e-06 3.692033e-06 6.097806e-06 1.7412 1.6516 8.937609e-06
498 610.1151 880.4438 9.018572e-07 1.571878e-06 3.305203e-06 1.7429 2.1027 4.844465e-06
499 818.1387 885.1802 1.689491e-06 2.924404e-06 4.783595e-06 1.7309 1.6358 7.011358e-06
500 586.2811 887.2805 3.392945e-06 5.661980e-06 9.659448e-06 1.6688 1.7060 1.415794e-05
501 442.1935 887.9511 1.656973e-06 3.317842e-06 5.594239e-06 2.0024 1.6861 8.199527e-06
502 475.6079 888.5021 1.135699e-06 1.770185e-06 3.054859e-06 1.5587 1.7257 4.477535e-06
503 15.3526 888.8899 9.446105e-07 1.591152e-06 2.680247e-06 1.6845 1.6845 3.928462e-06
504 211.1517 889.6147 1.116035e-06 1.883730e-06 3.091566e-06 1.6879 1.6412 4.531336e-06
505 866.7451 890.1019 1.015680e-06 1.775344e-06 2.945553e-06 1.7479 1.6591 4.317324e-06
506 992.0504 890.9818 1.256617e-06 2.240075e-06 4.698424e-06 1.7826 2.0974 6.886522e-06
507 700.7060 890.0409 4.210789e-07 7.369090e-07 1.506958e-06 1.7500 2.0450 2.208762e-06
508 326.2665 891.9890 5.199145e-07 9.109714e-07 1.395559e-06 1.7522 1.5319 2.045484e-06
509 639.7394 892.4754 8.307151e-07 1.391253e-06 2.411880e-06 1.6748 1.7336 3.535115e-06
510 247.8814 894.4380 9.218362e-07 1.515034e-06 2.498659e-06 1.6435 1.6492 3.662308e-06
511 212.6662 900.7606 2.087367e-06 3.461654e-06 5.826979e-06 1.6584 1.6833 8.540656e-06
512 726.5753 899.4524 4.352333e-07 7.651654e-07 1.968893e-06 1.7581 2.5732 2.885824e-06
513 400.9907 901.6199 8.773631e-07 1.559282e-06 2.775759e-06 1.7772 1.7802 4.068456e-06
514 743.7900 901.6718 1.176755e-06 2.035245e-06 3.657165e-06 1.7295 1.7969 5.360340e-06
515 52.3341 945.4565 3.692670e-04 6.175711e-04 1.111039e-03 1.6724 1.7990 1.628460e-03
516 111.5010 907.6171 2.880358e-05 4.571748e-05 7.670923e-05 1.5872 1.6779 1.124334e-04
517 465.2469 904.0193 6.910605e-07 1.207123e-06 1.961670e-06 1.7468 1.6251 2.875238e-06
518 737.0264 904.7054 4.543104e-07 7.752746e-07 1.216952e-06 1.7065 1.5697 1.783697e-06
519 700.3792 914.1792 7.546604e-06 1.351633e-05 3.260363e-05 1.7910 2.4122 4.778743e-05
520 893.8346 908.3905 2.742035e-06 4.599013e-06 7.749790e-06 1.6772 1.6851 1.135894e-05
521 165.6195 908.1989 2.768417e-07 5.162521e-07 1.594473e-06 1.8648 3.0886 2.337033e-06
522 915.9567 908.0012 5.482605e-07 9.945876e-07 1.609723e-06 1.8141 1.6185 2.359385e-06
523 536.2430 916.8585 6.207460e-06 1.166033e-05 3.054569e-05 1.8784 2.6196 4.477110e-05
524 974.1053 909.4994 6.026126e-07 9.833363e-07 1.572735e-06 1.6318 1.5994 2.305172e-06
525 128.8515 911.1492 5.319001e-07 9.450233e-07 1.806891e-06 1.7767 1.9120 2.648377e-06
526 200.3541 912.2519 2.051827e-06 3.379922e-06 5.939572e-06 1.6473 1.7573 8.705685e-06
527 171.7893 914.5612 2.862872e-06 4.851087e-06 9.414349e-06 1.6945 1.9407 1.379870e-05
528 655.8430 916.8676 1.950176e-06 3.432636e-06 5.813575e-06 1.7602 1.6936 8.521010e-06
529 783.0152 924.5258 6.417677e-05 1.071458e-04 1.781444e-04 1.6695 1.6626 2.611078e-04
530 1028.1876 916.1057 5.820307e-07 1.017442e-06 1.544027e-06 1.7481 1.5176 2.263095e-06
531 915.9555 921.8789 1.322136e-06 2.664727e-06 8.303479e-06 2.0155 3.1161 1.217048e-05
532 1067.4416 921.6776 1.020282e-05 1.626999e-05 2.769141e-05 1.5947 1.7020 4.058755e-05
533 182.2198 921.0210 6.903988e-07 1.219329e-06 1.860419e-06 1.7661 1.5258 2.726834e-06
534 1046.2899 924.3149 1.832025e-06 3.440078e-06 1.087345e-05 1.8777 3.1608 1.593731e-05
535 577.1640 921.8553 5.182201e-07 9.076778e-07 1.468701e-06 1.7515 1.6181 2.152688e-06
536 96.0436 923.2968 5.223829e-07 8.983078e-07 1.381078e-06 1.7196 1.5374 2.024259e-06
537 351.3093 924.5727 2.551840e-06 4.017533e-06 6.764741e-06 1.5744 1.6838 9.915143e-06
538 334.7645 928.9240 1.802086e-05 3.178231e-05 5.516214e-05 1.7636 1.7356 8.085164e-05
539 762.1009 926.3471 4.323067e-07 7.476209e-07 1.733591e-06 1.7294 2.3188 2.540940e-06
540 88.7449 927.8769 1.116673e-06 1.941515e-06 3.139935e-06 1.7387 1.6173 4.602232e-06
541 836.3837 928.3552 1.037805e-06 1.697015e-06 2.895617e-06 1.6352 1.7063 4.244132e-06
542 947.6807 930.1777 3.604438e-06 6.056835e-06 1.013846e-05 1.6804 1.6739 1.486003e-05
543 434.3778 933.0909 7.492774e-07 1.255318e-06 1.754086e-06 1.6754 1.3973 2.570980e-06
544 389.5140 938.0842 1.321467e-05 2.233810e-05 3.948959e-05 1.6904 1.7678 5.788025e-05
545 898.5969 939.8043 1.345765e-06 2.595500e-06 8.905436e-06 1.9286 3.4311 1.305278e-05
546 162.9034 939.3224 6.949822e-07 1.195515e-06 1.956562e-06 1.7202 1.6366 2.867750e-06
547 198.9723 967.3605 1.760064e-04 3.040013e-04 5.123562e-04 1.7272 1.6854 7.509651e-04
548 456.0575 947.3939 7.244254e-06 1.299057e-05 3.007242e-05 1.7932 2.3149 4.407743e-05
549 1014.8922 949.1448 5.735403e-06 1.098656e-05 3.000428e-05 1.9156 2.7310 4.397754e-05
550 508.5113 944.2480 7.984395e-07 1.290490e-06 2.083288e-06 1.6163 1.6143 3.053494e-06
551 589.3931 947.6515 8.601543e-07 1.379857e-06 2.385589e-06 1.6042 1.7289 3.496580e-06
552 309.0218 948.6990 5.867419e-07 1.017355e-06 1.657441e-06 1.7339 1.6292 2.429327e-06
553 1076.7289 949.9742 5.084696e-07 8.938907e-07 1.812907e-06 1.7580 2.0281 2.657194e-06
554 995.7463 950.4158 3.885684e-07 7.195557e-07 1.833342e-06 1.8518 2.5479 2.687146e-06
555 674.7571 956.4982 2.821032e-06 4.001832e-06 5.268587e-06 1.4186 1.3165 7.722216e-06
556 739.9633 954.6832 5.055133e-07 8.654797e-07 1.517685e-06 1.7121 1.7536 2.224485e-06
557 940.9585 961.0449 5.800171e-06 1.110701e-05 2.935897e-05 1.9149 2.6433 4.303170e-05
558 984.0248 961.2633 2.109669e-06 3.652652e-06 5.904533e-06 1.7314 1.6165 8.654328e-06
559 581.3782 964.3221 3.388143e-06 5.681522e-06 1.027323e-05 1.6769 1.8082 1.505757e-05
560 603.2963 962.8563 1.213273e-06 2.093098e-06 3.538081e-06 1.7252 1.6904 5.185797e-06
561 731.5409 971.4612 5.753161e-05 9.253044e-05 1.641759e-04 1.6083 1.7743 2.406341e-04
562 897.0882 969.7729 1.173510e-05 2.062727e-05 3.536634e-05 1.7577 1.7145 5.183677e-05
563 565.9709 970.6726 6.216557e-06 1.093745e-05 1.909453e-05 1.7594 1.7458 2.798703e-05
564 950.9330 972.5785 4.527769e-06 7.682407e-06 1.292795e-05 1.6967 1.6828 1.894862e-05
565 33.0404 979.0275 1.238837e-05 2.287149e-05 4.038998e-05 1.8462 1.7660 5.919996e-05
566 611.9654 974.7736 3.991752e-06 7.021932e-06 1.170275e-05 1.7591 1.6666 1.715283e-05
567 1070.1209 974.8868 2.720533e-06 3.325154e-06 3.423940e-06 1.2222 1.0297 5.018500e-06
568 110.6372 979.3123 1.157489e-06 1.945148e-06 3.774167e-06 1.6805 1.9403 5.531831e-06
569 334.4962 979.0140 4.867849e-07 8.133716e-07 1.353155e-06 1.6709 1.6636 1.983331e-06
570 455.2946 979.0463 5.356072e-07 9.296398e-07 1.529456e-06 1.7357 1.6452 2.241738e-06
571 367.9839 987.6145 1.433497e-05 2.576180e-05 5.037616e-05 1.7971 1.9555 7.383680e-05
572 270.0379 984.8745 9.686865e-07 1.748889e-06 2.965207e-06 1.8054 1.6955 4.346131e-06
573 461.6749 985.0688 2.239490e-06 2.876957e-06 3.200387e-06 1.2846 1.1124 4.690836e-06
574 883.4642 985.2530 9.750292e-07 1.612076e-06 2.749785e-06 1.6534 1.7057 4.030384e-06
575 764.6715 987.1772 8.701157e-07 1.604742e-06 2.932537e-06 1.8443 1.8274 4.298247e-06
576 585.9678 989.8811 4.289118e-06 7.658883e-06 1.278448e-05 1.7857 1.6692 1.873833e-05
577 827.5900 987.7548 5.356767e-07 8.726543e-07 1.476461e-06 1.6291 1.6919 2.164062e-06
578 1075.0294 989.0049 5.148909e-07 9.416047e-07 1.399996e-06 1.8287 1.4868 2.051986e-06
579 413.5205 993.8258 6.524070e-06 1.087116e-05 1.867608e-05 1.6663 1.7179 2.737370e-05
580 653.6219 992.1013 1.220981e-06 1.829112e-06 2.313532e-06 1.4981 1.2648 3.390966e-06
581 355.5996 992.4880 7.944920e-07 1.213510e-06 1.813328e-06 1.5274 1.4943 2.657811e-06
582 781.0118 993.2058 7.822175e-07 1.382778e-06 2.311506e-06 1.7678 1.6716 3.387995e-06
583 843.2449 998.2312 9.228853e-08 2.150515e-07 2.830364e-06 2.3302 13.1613 4.148491e-06
584 918.7029 1000.6526 1.697249e-07 3.719322e-07 2.143294e-06 2.1914 5.7626 3.141446e-06
585 205.2172 996.0230 7.253561e-07 1.266012e-06 2.007259e-06 1.7454 1.5855 2.942058e-06
586 249.9124 1000.2416 2.819510e-06 4.897535e-06 8.317170e-06 1.7370 1.6982 1.219055e-05
587 640.2176 1000.0762 1.909171e-06 3.334995e-06 5.492859e-06 1.7468 1.6470 8.050934e-06
588 954.3438 999.3292 7.668731e-07 1.296266e-06 2.510909e-06 1.6903 1.9370 3.680262e-06
589 703.5267 1000.0241 7.754922e-07 1.291332e-06 2.082494e-06 1.6652 1.6127 3.052330e-06
590 182.6778 1003.9159 1.404636e-06 2.423707e-06 4.098404e-06 1.7255 1.6910 6.007068e-06
591 824.8319 1003.8534 5.617161e-07 9.714639e-07 1.661728e-06 1.7295 1.7105 2.435610e-06
592 440.6572 1007.3428 1.587400e-06 2.576567e-06 4.325866e-06 1.6231 1.6789 6.340461e-06
593 869.1572 1007.1275 4.932811e-07 9.814975e-07 2.061571e-06 1.9897 2.1004 3.021663e-06
594 748.6863 1009.2422 1.327122e-06 2.115942e-06 2.564012e-06 1.5944 1.2118 3.758095e-06
595 881.3022 1009.0572 1.166126e-06 2.047063e-06 3.843216e-06 1.7554 1.8774 5.633036e-06
596 1051.6777 1008.9887 1.053410e-06 1.821352e-06 3.042602e-06 1.7290 1.6705 4.459570e-06
597 346.8388 1011.8636 9.361174e-07 1.636121e-06 2.973934e-06 1.7478 1.8177 4.358922e-06
598 526.6658 1019.0034 2.089804e-06 5.663654e-06 4.365672e-05 2.7101 7.7082 6.398805e-05
599 1056.6975 1013.5431 7.922641e-07 1.260684e-06 2.330308e-06 1.5912 1.8484 3.415554e-06
600 814.8732 1015.6106 3.240283e-06 5.413711e-06 9.000591e-06 1.6708 1.6626 1.319225e-05
601 908.7008 1015.3617 1.796226e-06 2.957253e-06 4.974587e-06 1.6464 1.6822 7.291297e-06
602 1011.0326 1013.9665 6.651460e-07 1.216562e-06 2.000722e-06 1.8290 1.6446 2.932476e-06
603 192.9854 1014.4940 5.660447e-07 9.557286e-07 1.523370e-06 1.6884 1.5939 2.232818e-06
604 767.4150 1017.7789 9.202693e-07 1.537782e-06 2.772026e-06 1.6710 1.8026 4.062983e-06
605 272.5202 1019.7737 1.438607e-06 2.360251e-06 4.022102e-06 1.6407 1.7041 5.895231e-06
606 460.0167 1020.0078 5.854620e-07 1.065041e-06 1.831590e-06 1.8191 1.7197 2.684578e-06
607 961.7268 1022.4369 2.845600e-06 4.609564e-06 8.203109e-06 1.6199 1.7796 1.202337e-05
608 669.0627 1025.8997 1.397451e-06 2.504710e-06 4.267788e-06 1.7923 1.7039 6.255335e-06
609 1053.5972 1026.4125 1.054424e-06 1.780443e-06 3.683894e-06 1.6885 2.0691 5.399517e-06
610 508.9343 1026.6751 4.894062e-07 8.554873e-07 1.354107e-06 1.7480 1.5828 1.984727e-06
611 91.6473 1049.2792 3.308862e-06 5.991829e-06 1.877575e-05 1.8108 3.1336 2.751978e-05
612 620.5593 1033.4749 1.166245e-06 1.818252e-06 3.011099e-06 1.5591 1.6560 4.413395e-06
613 968.0677 1034.0454 1.693288e-06 3.032674e-06 5.055834e-06 1.7910 1.6671 7.410382e-06
614 43.4174 1035.8791 4.235530e-06 6.942389e-06 1.130599e-05 1.6391 1.6285 1.657129e-05
615 1093.4096 1036.7654 2.816521e-06 4.810269e-06 9.860593e-06 1.7079 2.0499 1.445276e-05
616 931.1867 1035.3868 4.998691e-07 8.480047e-07 1.594051e-06 1.6965 1.8798 2.336414e-06
617 750.8372 1041.5844 9.795613e-07 1.727066e-06 3.656361e-06 1.7631 2.1171 5.359161e-06
618 659.9907 1040.7137 5.357874e-07 9.306566e-07 1.485885e-06 1.7370 1.5966 2.177876e-06
619 741.8865 1045.1863 2.491142e-06 4.958060e-06 7.728226e-06 1.9903 1.5587 1.132733e-05
620 118.6033 1048.4010 8.134998e-06 1.323784e-05 2.343462e-05 1.6273 1.7703 3.434833e-05
621 653.5010 1047.5913 1.522692e-06 2.391521e-06 3.897703e-06 1.5706 1.6298 5.712898e-06
622 577.4088 1055.6248 1.258477e-06 1.973583e-06 3.275242e-06 1.5682 1.6595 4.800553e-06
623 475.7457 1057.3038 9.845976e-07 1.627037e-06 2.659045e-06 1.6525 1.6343 3.897387e-06
624 211.4340 1059.5629 9.042895e-07 1.410148e-06 2.554290e-06 1.5594 1.8114 3.743846e-06
625 536.2674 1063.6473 7.436116e-07 1.212791e-06 2.000327e-06 1.6309 1.6494 2.931897e-06
626 354.2819 1065.8765 2.771395e-06 4.033865e-06 4.893239e-06 1.4555 1.2130 7.172065e-06
627 897.0502 1067.1441 1.331363e-06 2.385149e-06 4.055229e-06 1.7915 1.7002 5.943786e-06
628 187.5401 1069.9206 1.198206e-06 2.011283e-06 3.443067e-06 1.6786 1.7119 5.046534e-06
629 669.9609 1068.7008 5.323091e-07 9.141591e-07 1.600448e-06 1.7173 1.7507 2.345791e-06
630 117.9718 1071.3261 6.369353e-07 1.084550e-06 1.773020e-06 1.7028 1.6348 2.598731e-06
631 1048.8004 1076.1782 1.716725e-06 2.969028e-06 4.961648e-06 1.7295 1.6711 7.272333e-06
632 578.6818 1076.3016 5.467993e-07 9.314880e-07 1.712332e-06 1.7035 1.8383 2.509781e-06
633 910.2849 1079.0210 5.297326e-07 9.239550e-07 1.650820e-06 1.7442 1.7867 2.419622e-06
634 741.6037 1082.8274 8.997344e-07 1.458329e-06 2.315907e-06 1.6208 1.5881 3.394446e-06
635 825.1167 1082.4052 7.818355e-07 1.351958e-06 2.288435e-06 1.7292 1.6927 3.354179e-06
636 465.2280 1084.7553 1.160468e-06 2.005404e-06 3.365937e-06 1.7281 1.6784 4.933485e-06
637 299.2258 1088.4955 6.588820e-07 1.099773e-06 1.914212e-06 1.6691 1.7406 2.805677e-06
638 663.7552 1093.7545 9.859057e-06 1.698752e-05 2.941527e-05 1.7230 1.7316 4.311424e-05
639 624.3919 1090.8089 4.322145e-07 7.269439e-07 1.266285e-06 1.6819 1.7419 1.856005e-06
640 808.7318 1091.9628 1.851991e-06 3.211964e-06 5.297408e-06 1.7343 1.6493 7.764460e-06
641 1026.3042 1092.9580 5.863635e-07 1.022029e-06 1.758553e-06 1.7430 1.7206 2.577528e-06
642 85.5760 1097.5688 2.376626e-06 4.423245e-06 1.548663e-05 1.8611 3.5012 2.269890e-05
643 869.0194 1098.5211 6.885727e-07 1.155119e-06 2.000544e-06 1.6776 1.7319 2.932215e-06
644 599.2656 1107.5187 3.425339e-06 6.370998e-06 1.876005e-05 1.8600 2.9446 2.749678e-05
645 239.0742 1114.7493 9.495877e-07 1.854914e-06 2.587544e-06 1.9534 1.3950 3.792586e-06
646 962.6770 1108.0510 5.854589e-07 1.041031e-06 1.922946e-06 1.7781 1.8472 2.818480e-06
647 196.3439 1131.8501 1.248647e-04 2.139917e-04 3.712882e-04 1.7138 1.7351 5.442005e-04
648 555.4332 1118.6454 2.562865e-05 4.012528e-05 6.608579e-05 1.5656 1.6470 9.686255e-05
649 565.5667 1116.7823 7.237854e-07 1.216918e-06 2.478068e-06 1.6813 2.0363 3.632127e-06
650 529.3786 1127.2937 4.739583e-07 8.658527e-07 1.027947e-05 1.8269 11.8721 1.506671e-05
651 694.3611 1120.8852 6.193950e-07 1.062986e-06 1.771036e-06 1.7162 1.6661 2.595823e-06
652 335.8194 1121.8745 6.006820e-07 1.032734e-06 1.803262e-06 1.7193 1.7461 2.643057e-06
653 180.2991 1124.9909 4.928346e-07 8.567931e-07 1.496472e-06 1.7385 1.7466 2.193393e-06
654 706.4823 1126.4705 3.625008e-06 5.634214e-06 9.229273e-06 1.5543 1.6381 1.352743e-05
655 1018.6804 1134.1065 1.643938e-06 3.075322e-06 9.124284e-06 1.8707 2.9669 1.337355e-05
656 107.3564 1132.2976 3.118977e-06 5.061108e-06 8.847603e-06 1.6227 1.7482 1.296801e-05
657 944.7526 1132.7306 7.590122e-07 1.352447e-06 2.657927e-06 1.7819 1.9653 3.895747e-06
658 123.4440 1134.8381 1.749580e-06 2.863645e-06 4.878023e-06 1.6368 1.7034 7.149763e-06
659 165.3021 1136.4731 1.913673e-06 3.001217e-06 4.979346e-06 1.5683 1.6591 7.298273e-06
660 277.6413 1139.9263 9.571881e-07 1.973746e-06 4.815589e-06 2.0620 2.4398 7.058253e-06
# Look at catalog table that shows all columns, but subset of rows
# Pay attention to rows with a large number of nans, as this may indicate a spurious source
catalog = Table.read("starfield_combined_cat.ecsv")
catalog
2021-08-28 02:14:55,762 - stpipe - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/astropy/io/ascii/connect.py:18: ResourceWarning: unclosed file <_io.TextIOWrapper name='starfield_combined_cat.ecsv' encoding='UTF-8'> return read(filename, **kwargs)
| label | xcentroid | ycentroid | sky_centroid | aper_bkg_flux | aper_bkg_flux_err | aper30_flux | aper30_flux_err | aper50_flux | aper50_flux_err | aper70_flux | aper70_flux_err | aper_total_flux | aper_total_flux_err | aper30_abmag | aper30_abmag_err | aper50_abmag | aper50_abmag_err | aper70_abmag | aper70_abmag_err | aper_total_abmag | aper_total_abmag_err | aper30_vegamag | aper30_vegamag_err | aper50_vegamag | aper50_vegamag_err | aper70_vegamag | aper70_vegamag_err | aper_total_vegamag | aper_total_vegamag_err | CI_50_30 | CI_70_50 | CI_70_30 | is_extended | sharpness | roundness | nn_label | nn_dist | isophotal_flux | isophotal_flux_err | isophotal_abmag | isophotal_abmag_err | isophotal_vegamag | isophotal_vegamag_err | isophotal_area | semimajor_sigma | semiminor_sigma | ellipticity | orientation | sky_orientation | sky_bbox_ll | sky_bbox_ul | sky_bbox_lr | sky_bbox_ur |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| deg,deg | Jy | Jy | Jy | Jy | Jy | Jy | Jy | Jy | Jy | Jy | pix | Jy | Jy | pix2 | pix | pix | deg | deg | deg,deg | deg,deg | deg,deg | deg,deg | |||||||||||||||||||||||||||||||
| int64 | float64 | float64 | object | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | bool | float64 | float32 | int64 | float64 | float32 | float32 | float32 | float32 | float32 | float32 | float64 | float64 | float64 | float64 | float64 | float64 | object | object | object | object |
| 1 | 760.3863 | 10.9250 | 359.9982253121306,-0.01799711152573936 | 6.620105e-08 | 6.721886e-09 | 1.147092e-07 | 1.302099e-01 | 2.323822e-07 | 1.906566e-01 | 1.741963e-06 | nan | 2.553211e-06 | nan | 26.251004 | 15.137616 | 25.484493 | 14.785124 | 23.297403 | nan | 22.882283 | nan | 21.867024 | 15.137616 | 21.100513 | 14.785124 | 18.913423 | nan | 18.498304 | nan | 2.0258 | 7.4961 | 15.1859 | True | 0.548879 | -0.359660 | 14 | 15.897062 | 1.835007e-05 | 9.454095e-01 | 20.740906 | 11.779977 | 16.356926 | 11.779977 | 178.0 | 8.045988 | 3.216397 | 0.600248 | 3.785211 | 98.800411 | 359.99888723121586,-0.018161035346320218 | 359.9989249053936,-0.017731729346709437 | 359.9975379836763,-0.018042630743940875 | 359.997575657854,-0.01761332474544043 |
| 2 | 789.6500 | 20.9315 | 359.9973548762295,-0.01761151712171114 | 1.035186e-07 | 7.525833e-09 | 2.284252e-06 | 1.571626e-01 | 4.419514e-06 | 2.234463e-01 | 1.463397e-05 | 4.929173e-01 | 2.144915e-05 | 7.224734e-01 | 23.003140 | 12.094029 | 22.286564 | 11.759518 | 20.986594 | 11.318562 | 20.571475 | 11.318562 | 18.619160 | 12.094029 | 17.902584 | 11.759518 | 16.602615 | 11.318562 | 16.187495 | 11.318562 | 1.9348 | 3.3112 | 6.4065 | False | 0.537382 | -0.007882 | 21 | 17.235575 | 4.587414e-05 | 1.095415e+00 | 19.746078 | 10.945072 | 15.362099 | 10.945072 | 245.0 | 5.133720 | 2.465072 | 0.519827 | -83.483308 | 11.531892 | 359.9975073189596,-0.01803993973012549 | 359.9975772852896,-0.017242657160045322 | 359.99707801292624,-0.018002265536430005 | 359.9971479792563,-0.017204982967094627 |
| 3 | 840.4640 | 8.1312 | 359.9957622339007,-0.017867294165921616 | 1.388101e-08 | 2.375588e-09 | 2.664340e-07 | nan | 5.471632e-07 | nan | 1.683409e-06 | nan | 2.467388e-06 | nan | 25.336026 | nan | 24.554708 | nan | 23.334526 | nan | 22.919406 | nan | 20.952046 | nan | 20.170728 | nan | 18.950546 | nan | 18.535426 | nan | 2.0537 | 3.0766 | 6.3183 | True | 0.345154 | 0.053290 | 24 | 31.244512 | 1.170260e-06 | 2.674786e-01 | 23.729294 | 13.397521 | 19.345314 | 13.397521 | 14.0 | 3.133653 | 0.337585 | 0.892271 | 0.034667 | 95.049867 | 359.99594341841464,-0.017902698020017288 | 359.9959514914527,-0.017810703877984876 | 359.9955447771016,-0.017867714837039344 | 359.99555285013963,-0.01777572069512386 |
| 4 | 938.9063 | 8.1575 | 359.9927435992437,-0.01760157707668133 | 0.000000e+00 | 1.558666e-09 | 3.211882e-07 | nan | 6.840643e-07 | nan | 2.616368e-06 | nan | 3.834835e-06 | nan | 25.133101 | nan | 24.312258 | nan | 22.855753 | nan | 22.440633 | nan | 20.749121 | nan | 19.928278 | nan | 18.471773 | nan | 18.056654 | nan | 2.1298 | 3.8247 | 8.1459 | True | 0.279055 | -0.356500 | 27 | 48.326480 | 1.467974e-06 | 2.678517e-01 | 23.483204 | 13.152946 | 19.099224 | 13.152946 | 15.0 | 3.419919 | 0.358910 | 0.895053 | -1.049512 | 93.965688 | 359.9929076115199,-0.017636287606975328 | 359.9929156845579,-0.01754429346580995 | 359.9925089702156,-0.017601304418123062 | 359.99251704325366,-0.017509310277104263 |
| 5 | 419.1406 | 9.5761 | 0.008685884009096473,-0.01895677168763861 | 0.000000e+00 | 1.402419e-09 | 5.391905e-07 | 2.032130e-01 | 9.229399e-07 | nan | 2.327220e-06 | nan | 3.411028e-06 | nan | 24.570644 | 13.940526 | 23.987066 | nan | 22.982906 | nan | 22.567787 | nan | 20.186665 | 13.940526 | 19.603087 | nan | 18.598927 | nan | 18.183807 | nan | 1.7117 | 2.5215 | 4.3161 | False | 0.798805 | -0.586582 | 6 | 22.295258 | 2.345627e-06 | 4.403559e-01 | 22.974354 | 13.183868 | 18.590374 | 13.183868 | 18.0 | 2.234945 | 0.612332 | 0.726019 | -5.109926 | 89.905274 | 0.008794625907387629,-0.01899956774989228 | 0.00880538995779972,-0.01887690889272153 | 0.008487978733991576,-0.018972657630838646 | 0.00849874278442845,-0.018849998773648624 |
| 6 | 441.4358 | 9.5360 | 0.008002099231942622,-0.018898006836952627 | 0.000000e+00 | 7.003912e-10 | 4.573959e-07 | nan | 8.020797e-07 | nan | 2.447804e-06 | nan | 3.587769e-06 | nan | 24.749269 | nan | 24.139456 | nan | 22.928058 | nan | 22.512939 | nan | 20.365289 | nan | 19.755476 | nan | 18.544078 | nan | 18.128959 | nan | 1.7536 | 3.0518 | 5.3516 | False | 1.043944 | -0.549964 | 5 | 22.295258 | 7.826557e-06 | 8.008905e-01 | 21.666073 | 12.525017 | 17.282093 | 12.525017 | 63.0 | 8.246760 | 0.570095 | 0.930870 | 0.053828 | 95.069028 | 0.008487978733991576,-0.018972657630838646 | 0.00849874278442845,-0.018849998773648624 | 0.007506707778321351,-0.01888654524618799 | 0.0075174718288172175,-0.018763886388843062 |
| 7 | 472.6855 | 9.4297 | 0.007043551120734392,-0.01881717050371663 | 0.000000e+00 | 1.076718e-09 | 4.255792e-07 | nan | 7.522043e-07 | nan | 2.330787e-06 | nan | 3.416255e-06 | nan | 24.827549 | nan | 24.209160 | nan | 22.981244 | nan | 22.566124 | nan | 20.443569 | nan | 19.825181 | nan | 18.597264 | nan | 18.182144 | nan | 1.7675 | 3.0986 | 5.4767 | False | 0.962810 | -0.522925 | 8 | 22.527543 | 7.035954e-06 | 7.371895e-01 | 21.781693 | 12.550651 | 17.397713 | 12.550651 | 55.0 | 8.051059 | 0.493962 | 0.938646 | -0.232826 | 94.782374 | 0.007476043060941482,-0.018883854234084643 | 0.007484116098813892,-0.0187918600910762 | 0.006525436821847049,-0.01880043285580317 | 0.006533509859762131,-0.01870843871275377 |
| 8 | 495.2130 | 9.4236 | 0.0063527339468599595,-0.018756736273241627 | 0.000000e+00 | 6.866243e-10 | 4.420822e-07 | nan | 7.224137e-07 | nan | 1.935512e-06 | nan | 2.836897e-06 | nan | 24.786243 | nan | 24.253035 | nan | 23.183011 | nan | 22.767891 | nan | 20.402263 | nan | 19.869055 | nan | 18.799031 | nan | 18.383911 | nan | 1.6341 | 2.6792 | 4.3782 | False | 1.051632 | -0.849575 | 15 | 19.044318 | 1.321243e-06 | 3.153419e-01 | 23.597542 | 13.444502 | 19.213562 | 13.444502 | 11.0 | 1.543936 | 0.489850 | 0.682727 | -2.541272 | 92.473928 | 0.006433442669657507,-0.018792359818926768 | 0.0064415157075761115,-0.018700365675864448 | 0.006218789647876027,-0.018773522732649817 | 0.0062268626858032385,-0.018681528589578517 |
| 9 | 557.8269 | 9.6051 | 0.004433186236445794,-0.018582676540030773 | 3.292767e-08 | 4.717834e-09 | 2.041258e-07 | 1.328032e-01 | 4.140775e-07 | nan | 1.429069e-06 | nan | 2.094600e-06 | nan | 25.625255 | 14.533278 | 24.857296 | nan | 23.512367 | nan | 23.097247 | nan | 21.241275 | 14.533278 | 20.473316 | nan | 19.128387 | nan | 18.713267 | nan | 2.0285 | 3.4512 | 7.0009 | True | 0.433952 | -0.492141 | 12 | 13.076469 | 4.087927e-06 | 4.750687e-01 | 22.371243 | 12.663143 | 17.987263 | 12.663143 | 44.0 | 7.427664 | 0.562289 | 0.924298 | -2.451557 | 92.563643 | 0.00486954208258836,-0.018655118184354773 | 0.004880306133222796,-0.01853245932686122 | 0.003980265278873882,-0.01857707881727751 | 0.003991029329545497,-0.01845441995978277 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 651 | 694.3611 | 1120.8852 | 0.0032368714674975395,0.015861827123212175 | 1.464055e-09 | 1.282828e-09 | 6.193950e-07 | 1.339342e-01 | 1.062986e-06 | 1.891943e-01 | 1.771036e-06 | 4.343758e-01 | 2.595823e-06 | 6.366686e-01 | 24.420081 | 13.337315 | 23.833681 | 13.125957 | 23.279432 | 13.474100 | 22.864312 | 13.474100 | 20.036101 | 13.337315 | 19.449701 | 13.125957 | 18.895452 | 13.474100 | 18.480332 | 13.474100 | 1.7162 | 1.6661 | 2.8593 | False | 0.592971 | -0.584197 | 654 | 13.346104 | 1.433494e-06 | 2.318400e-01 | 23.509010 | 13.021988 | 19.125031 | 13.021988 | 11.0 | 0.998121 | 0.739248 | 0.259360 | -14.656727 | 80.358473 | 0.0032902142803297,0.01581434240689848 | 0.0033009783308715693,0.015937001264439574 | 0.003136890695940821,0.015827797466715685 | 0.003147654746484679,0.01595045632425015 |
| 652 | 335.8194 | 1121.8745 | 0.014234113724094432,0.014927323083226654 | 5.082887e-09 | 1.933647e-09 | 6.006820e-07 | 1.358603e-01 | 1.032734e-06 | 1.924179e-01 | 1.803262e-06 | 4.408406e-01 | 2.643057e-06 | 6.461440e-01 | 24.453389 | 13.386124 | 23.865028 | 13.175648 | 23.259853 | 13.470561 | 22.844734 | 13.470561 | 20.069409 | 13.386124 | 19.481049 | 13.175648 | 18.875873 | 13.470561 | 18.460754 | 13.470561 | 1.7193 | 1.7461 | 3.0020 | False | 0.629868 | 0.206417 | 637 | 49.530312 | 1.182699e-06 | 2.024010e-01 | 23.717815 | 13.083353 | 19.333836 | 13.083353 | 8.0 | 0.810838 | 0.678352 | 0.163394 | -47.930382 | 47.084818 | 0.014270873906931866,0.014881624547611575 | 0.014281637956716877,0.015004283404659596 | 0.014148215041540471,0.014892388601703641 | 0.014158979091343341,0.015015047458792117 |
| 653 | 180.2991 | 1124.9909 | 0.019011487174563052,0.014604379521814486 | 1.487232e-08 | 1.872355e-09 | 4.928346e-07 | 1.332313e-01 | 8.567931e-07 | 1.957968e-01 | 1.496472e-06 | 4.500422e-01 | 2.193393e-06 | 6.596310e-01 | 24.668247 | 13.579767 | 24.067810 | 13.397329 | 23.462328 | 13.695465 | 23.047209 | 13.695465 | 20.284267 | 13.579767 | 19.683830 | 13.397329 | 19.078349 | 13.695465 | 18.663229 | 13.695465 | 1.7385 | 1.7466 | 3.0365 | False | 0.611780 | -0.286789 | 647 | 17.449544 | 1.009187e-06 | 1.934202e-01 | 23.890072 | 13.206331 | 19.506092 | 13.206331 | 7.0 | 0.735456 | 0.678580 | 0.077335 | -88.598615 | 6.416585 | 0.019062642625193405,0.01455382053277938 | 0.019073406674409033,0.01467647938810517 | 0.018939983763553304,0.014564584589240372 | 0.018950747812768124,0.014687243444596706 |
| 654 | 706.4823 | 1126.4705 | 0.0028802088488891313,0.016065716494629526 | 9.945837e-09 | 1.836435e-09 | 3.625008e-06 | 1.664162e-01 | 5.634214e-06 | 2.270749e-01 | 9.229273e-06 | 4.626516e-01 | 1.352743e-05 | 6.781127e-01 | 22.501728 | 11.654740 | 22.022917 | 11.513366 | 21.487081 | 11.750238 | 21.071962 | 11.750238 | 18.117748 | 11.654740 | 17.638937 | 11.513366 | 17.103101 | 11.750238 | 16.687982 | 11.750238 | 1.5543 | 1.6381 | 2.5460 | False | 0.611171 | -0.556933 | 651 | 13.346104 | 9.285352e-06 | 4.218937e-01 | 21.480503 | 11.643536 | 17.096523 | 11.643536 | 32.0 | 1.294515 | 1.247282 | 0.036488 | -10.333671 | 84.681529 | 0.002963666445277818,0.015966602395859373 | 0.0029825035337419496,0.016181255396085375 | 0.0027490134272936304,0.015985439479144124 | 0.002767850515763706,0.01620009247933249 |
| 655 | 1018.6804 | 1134.1065 | 359.9933272922829,0.01714000031342463 | 4.090239e-08 | 5.264342e-09 | 1.643938e-06 | 1.472565e-01 | 3.075322e-06 | 2.088007e-01 | 9.124284e-06 | 4.667048e-01 | 1.337355e-05 | 6.840535e-01 | 23.360286 | 12.380485 | 22.680274 | 12.079620 | 21.499503 | 11.772130 | 21.084384 | 11.772130 | 18.976307 | 12.380485 | 18.296294 | 12.079620 | 17.115523 | 11.772130 | 16.700404 | 11.772130 | 1.8707 | 2.9669 | 5.5503 | False | 0.566292 | -1.211509 | 641 | 41.848735 | 1.858450e-05 | 7.315901e-01 | 20.727123 | 11.487820 | 16.343143 | 11.487820 | 102.0 | 3.677968 | 1.601468 | 0.564578 | -45.665349 | 49.349851 | 359.99349634214616,0.01689011897835271 | 359.9935367073357,0.017350089679598807 | 359.99303637141503,0.01693048413239163 | 359.99307673660456,0.017390454832724098 |
| 656 | 107.3564 | 1132.2976 | 0.02126791444193419,0.01463214734840798 | 1.077663e-08 | 1.401899e-09 | 3.118977e-06 | 1.647435e-01 | 5.061108e-06 | 2.280771e-01 | 8.847603e-06 | 4.809642e-01 | 1.296801e-05 | 7.049536e-01 | 22.664970 | 11.807011 | 22.139386 | 11.634614 | 21.532936 | 11.838238 | 21.117817 | 11.838238 | 18.280990 | 11.807011 | 17.755406 | 11.634614 | 17.148956 | 11.838238 | 16.733837 | 11.838238 | 1.6227 | 1.7482 | 2.8367 | False | 0.601407 | 0.160469 | 658 | 16.286941 | 9.003277e-06 | 4.433107e-01 | 21.513998 | 11.730791 | 17.130018 | 11.730791 | 33.0 | 1.340986 | 1.286714 | 0.040472 | -69.569129 | 25.446071 | 0.021345286604243924,0.014508009046040212 | 0.021366814701987567,0.014753326753974722 | 0.021130633600478912,0.01452684614676203 | 0.021152161698278486,0.014772163854905257 |
| 657 | 944.7526 | 1132.7306 | 359.9955905648709,0.016898868802767454 | -3.279338e-09 | 1.264453e-09 | 7.590122e-07 | 1.365218e-01 | 1.352447e-06 | 1.938478e-01 | 2.657927e-06 | 4.385055e-01 | 3.895747e-06 | 6.427214e-01 | 24.199378 | 13.137389 | 23.572199 | 12.890859 | 22.838642 | 13.043587 | 22.423523 | 13.043587 | 19.815398 | 13.137389 | 19.188219 | 12.890859 | 18.454663 | 13.043587 | 18.039543 | 13.043587 | 1.7819 | 1.9653 | 3.5018 | False | 0.577290 | 0.057557 | 646 | 30.501954 | 1.929161e-06 | 2.491497e-01 | 23.186579 | 12.777739 | 18.802599 | 12.777739 | 12.0 | 0.960291 | 0.860803 | 0.103602 | 75.555747 | 170.570947 | 359.9956536362958,0.016824407098081903 | 359.99566709135905,0.01697773066652849 | 359.9955003127162,0.016837862151412378 | 359.99551376777947,0.016991185719770083 |
| 658 | 123.4440 | 1134.8381 | 0.020781429807474702,0.014753342926889854 | 3.260141e-09 | 1.583363e-09 | 1.749580e-06 | 1.499577e-01 | 2.863645e-06 | 2.136469e-01 | 4.878023e-06 | 4.680191e-01 | 7.149763e-06 | 6.859798e-01 | 23.292666 | 12.332600 | 22.757702 | 12.181958 | 22.179390 | 12.455061 | 21.764271 | 12.455061 | 18.908686 | 12.332600 | 18.373722 | 12.181958 | 17.795411 | 12.455061 | 17.380291 | 12.455061 | 1.6368 | 1.7034 | 2.7881 | False | 0.616655 | -0.270126 | 656 | 16.286941 | 4.563633e-06 | 3.621078e-01 | 22.251722 | 12.248832 | 17.867743 | 12.248832 | 23.0 | 1.210173 | 1.104230 | 0.087544 | -13.575573 | 81.439627 | 0.020865415215362726,0.014673724130270268 | 0.020881561288778765,0.014857712411411525 | 0.02065076221066009,0.014692561230689861 | 0.020666908284126453,0.01487654951199173 |
| 659 | 165.3021 | 1136.4731 | 0.019502262329938513,0.01491612002373899 | 1.224124e-08 | 2.754008e-09 | 1.913673e-06 | 1.510284e-01 | 3.001217e-06 | 2.117320e-01 | 4.979346e-06 | 4.662486e-01 | 7.298273e-06 | 6.833848e-01 | 23.195331 | 12.242991 | 22.706756 | 12.121238 | 22.157069 | 12.428625 | 21.741950 | 12.428625 | 18.811351 | 12.242991 | 18.322777 | 12.121238 | 17.773089 | 12.428625 | 17.357970 | 12.428625 | 1.5683 | 1.6591 | 2.6020 | False | 0.606132 | -0.273233 | 653 | 18.887775 | 4.956901e-06 | 3.620581e-01 | 22.161976 | 12.158936 | 17.777996 | 12.158936 | 23.0 | 1.244949 | 1.075394 | 0.136195 | 78.834494 | 173.849694 | 0.01958018819343647,0.014817411443861284 | 0.019599025279415493,0.015032064439482266 | 0.019396199901703624,0.014833557529063153 | 0.01941503698773028,0.015048210524829776 |
| 660 | 277.6413 | 1139.9263 | 0.01606670746943069,0.015324318087786597 | 7.471787e-09 | 1.759919e-09 | 9.571881e-07 | 1.702129e-01 | 1.973746e-06 | 2.471450e-01 | 4.815589e-06 | 4.737200e-01 | 7.058253e-06 | 6.943357e-01 | 23.947507 | 13.124994 | 23.161772 | 12.744160 | 22.193376 | 12.482192 | 21.778257 | 12.482192 | 19.563527 | 13.124994 | 18.777792 | 12.744160 | 17.809397 | 12.482192 | 17.394277 | 12.482192 | 2.0620 | 2.4398 | 5.0310 | True | 0.925799 | -0.059475 | 645 | 46.057554 | 5.010537e-06 | 4.558197e-01 | 22.150288 | 12.397285 | 17.766308 | 12.397285 | 26.0 | 1.759501 | 0.981556 | 0.442139 | -0.968353 | 94.046847 | 0.016187168805072795,0.015238772854380538 | nan,nan | 0.015911186360759097,0.015262991978440138 | nan,nan |
# Read in i2d combined Image
im_i2d = ImageModel(input_file)
# read in ecsv photom file
from astropy.visualization import LogStretch, PercentileInterval, ManualInterval
from astropy import table
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
plt.scatter(data['xcentroid'], data['ycentroid'],lw=1, s=10,color='red')
<matplotlib.collections.PathCollection at 0x7f2166c2db50>
#create_scatterplot(catalog['label'], catalog['aper_total_flux'],title='Total Flux in '+str(catalog['aper_total_flux'].unit))
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.scatter(catalog['label'], catalog['aper_total_flux'])
plt.yscale('log')
plt.title('Total Flux in '+ str(catalog['aper_total_flux'].unit))
plt.xlabel('label')
plt.ylabel('aper_total_flux')
Text(0, 0.5, 'aper_total_flux')
create_scatterplot(catalog['label'], catalog['aper_total_abmag'],title='Total AB mag')
create_scatterplot(catalog['aper_total_abmag'], catalog['aper_total_abmag_err'],title='Total AB mag vs error')
Since this is a simulated data set, we can compare the output catalog information from the pipeline with the input catalog information used to create the simulation. Grab the input catalog x,y values and the output catalog x and y values.
# Read in catalogs used for simulated data
sim_star_cat = Table.read('input_sim_stars.cat', format='ascii')
sim_gal_cat = Table.read('input_sim_galaxies.cat', format='ascii')
sim_star_cat
| x | y | Teff | Ks | J |
|---|---|---|---|---|
| float64 | float64 | float64 | float64 | float64 |
| 80.2510308154624 | 23.997467884837725 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| -47.261524228197935 | 10.919745186379808 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 0.30699104430734203 | -58.51295402429979 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 93.61585359712294 | 10.466443553979882 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 70.96910779066107 | 63.07387861912006 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 92.9069476014962 | 64.30856174275276 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| -15.68679078862531 | 31.013432097907607 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 46.755851500202645 | -48.43985094005038 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 89.7351811921786 | 53.11182881807044 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 36.8486881036986 | 55.211246043351814 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| ... | ... | ... | ... | ... |
| -53.75703837846754 | -15.056996445192539 | 5129.638599639223 | 13.89851702505835 | 14.41384375773162 |
| -0.03077487414979152 | 36.278182742815886 | 5115.269231711902 | 13.881869560311879 | 14.401307904146263 |
| 95.63356755906099 | 44.16471129241473 | 5075.067865858648 | 13.826451018457695 | 14.3573115045063 |
| 90.27300634079342 | 14.709913368541772 | 5039.59863458312 | 13.777190092365087 | 14.318203593715223 |
| 66.73346488575024 | 53.530350294809374 | 4892.405122741114 | 13.126635236879519 | 13.714329206276458 |
| 64.8587912432001 | 35.35455796920176 | 4855.908749660536 | 12.776853158671695 | 13.375350808436671 |
| -53.64831916556537 | -32.595812402656435 | 4854.752641485985 | 12.76623009636547 | 13.365197793135147 |
| -46.87584310414583 | -39.38515541475271 | 4789.363060890498 | 12.23192086544233 | 12.851491317487538 |
| 80.81191419293565 | 31.516610885465813 | 4747.458346750021 | 11.94688436179194 | 12.581530000493744 |
| 96.33858842136043 | 46.06905445046372 | 4618.2593456723625 | 11.191917165072244 | 11.872435221133179 |
# join the star and galaxy catalogs used to make the simulations
combined = table.vstack([sim_star_cat, sim_gal_cat])
combined
| x | y | Teff | Ks | J | si | ell | posang | reff | flux |
|---|---|---|---|---|---|---|---|---|---|
| float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 |
| 80.2510308154624 | 23.997467884837725 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| -47.261524228197935 | 10.919745186379808 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 0.30699104430734203 | -58.51295402429979 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 93.61585359712294 | 10.466443553979882 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 70.96910779066107 | 63.07387861912006 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 92.9069476014962 | 64.30856174275276 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| -15.68679078862531 | 31.013432097907607 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 46.755851500202645 | -48.43985094005038 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 89.7351811921786 | 53.11182881807044 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 36.8486881036986 | 55.211246043351814 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 67.9805698605627 | 28.494828715119297 | -- | -- | -- | 2.1096031965990987 | 0.20429700021417183 | 163.06816649011344 | 1.2715822225420945 | 13.752965618162937 |
| -4.446155064406765 | 12.985674228459532 | -- | -- | -- | 7.321844705461592 | 0.4501652135521971 | 105.14019169110954 | 1.8511745519437588 | 20.07141274178467 |
| 64.7244492666461 | 10.113732329735475 | -- | -- | -- | 8.656346507536115 | 0.14694556628740923 | 162.43083457274233 | 1.610374819963926 | 66.30990252944302 |
| -26.44617200253474 | -63.88803361596829 | -- | -- | -- | 9.257830349772924 | 0.552517577845459 | 141.17379575911065 | 1.7555307879881636 | 85.42806519275359 |
| 12.353908822597736 | 10.271889771234832 | -- | -- | -- | 1.0276353349444474 | 0.18091589308864187 | 107.22059356945567 | 0.4673720066992323 | 39.37631906390017 |
| -42.21461912208557 | 62.45020775429763 | -- | -- | -- | 5.92465228732547 | 0.16970442816082973 | 202.415935614884 | 1.7791109904857216 | 131.3721604911842 |
| -48.68869520916011 | -16.576483230280186 | -- | -- | -- | 8.178707887219758 | 0.5984672675322196 | 140.78836334886316 | 0.898280342552625 | 59.0685397583837 |
| 86.72084849551925 | -30.653820797204745 | -- | -- | -- | 4.08216110337432 | 0.11388325542173025 | 167.92605707130545 | 1.0411257693724623 | 32.74018847376189 |
| 90.56731424478109 | -11.922514577935111 | -- | -- | -- | 7.5528059599878805 | 0.396357895737423 | 185.127012207533 | 0.25769212999045565 | 168.84275608114189 |
| 65.4485869690741 | 60.09508331438365 | -- | -- | -- | 2.379528991927928 | 0.3037143249770903 | 104.28886580660799 | 1.8117913320142096 | 144.44919876820663 |
sim_ra = combined['x']/3600.
sim_dec = combined['y']/3600.
# Put star positions into RA and Dec
# import coordinate conversion tools
#import miricoord.tel.tel_tools as teltools
#import miricoord.imager.mirim_pipetools as mpt
#import miricoord.imager.mirim_tools as mt
#import pysiaf
#filt = 'F560W'
# use pipeline to get v2ref and v3ref coordinates
#siaf = pysiaf.Siaf('MIRI')
#xref,yref=siaf['MIRIM_FULL'].XDetRef,siaf['MIRIM_FULL'].YDetRef
#xref,yref=xref-1,yref-1
#v2ref,v3ref=mt.xytov2v3(xref,yref,filt)
# set reference for RA and Dec
#raref = 0.0
#decref = 0.0
#rollref = 0.0
#sim_ra = np.zeros(len(combined))
#sim_dec = np.zeros(len(combined))
# cycle through list of coordinates input into scene and get RA/Dec values out, printing to file
#for i in range(len(combined)):
#print(combined['x'][i])
# v2 = v2ref + combined['x'][i]
# v3 = v3ref + combined['y'][i]
# ra,dec,newroll=teltools.jwst_v2v3toradec(v2,v3,v2ref=v2ref,v3ref=v3ref,raref=raref,decref=decref,rollref=rollref)
# sim_ra[i] = ra
# sim_dec[i] = dec
#print(np.shape(sim_ra))
#print(sim_ra, sim_dec)
cat_ra = catalog['sky_centroid'].ra.deg
for i in range(len(cat_ra)):
if (cat_ra[i]>180.):
cat_ra[i] -= 360.
cat_dec = catalog['sky_centroid'].dec.deg
# set the tolerance for differences and initialize counters
tol = 1.e-5 # Set tolerance around 30 mas (units here are in degrees; 36 mas ~ 1e-5 deg)
found_count=0
multiples_count=0
missed_count=0
# Set up array for matches
detected = np.chararray(len(sim_ra))
#print(np.shape(detected))
for ra,dec,idx in zip(sim_ra, sim_dec,range(len(sim_ra))):
match = np.where((np.abs(ra-cat_ra) < tol) & (np.abs(dec-cat_dec) < tol))
#print('match', match)
if np.size(match) == 1:
found_count +=1
detected[idx] = 'Y'
if np.size(match) > 1:
multiples_count +=1
if np.size(match) < 1:
missed_count +=1
#print(np.shape(detected))
total_percent_found = (found_count/len(sim_ra))*100
print('\n')
print('SNR threshold used for pipeline: ',pipe3.source_catalog.snr_threshold)
print('Total matches found:',found_count)
print('Total missed:',missed_count)
print('Number of multiples: ',multiples_count)
print('Total number of input (simulated) sources:',len(combined))
print('Total number in output catalog:',len(catalog))
print('Total percent found:',total_percent_found)
print('\n')
SNR threshold used for pipeline: 8 Total matches found: 470 Total missed: 4569 Number of multiples: 0 Total number of input (simulated) sources: 5039 Total number in output catalog: 660 Total percent found: 9.32724746973606
Photutils includes a package to match sources between catalogs by providing a max separation value. Set that value and compare the two catalogs.
catalog_in = SkyCoord(ra=sim_ra*u.degree, dec=sim_dec*u.degree) # full simulated catalog, stars+galaxies
catalog_out = SkyCoord(ra=cat_ra*u.degree, dec=cat_dec*u.degree)
max_sep = 0.04 * u.arcsec # Set match at around 30 mas
# match full tables
idx, d2d, d3d = match_coordinates_sky(catalog_in, catalog_out)
sep_constraint = d2d < max_sep
combined_matched = combined[sep_constraint] # simulated sources matched
catalog_matched = catalog[idx[sep_constraint]] # sources found matched
print(catalog_matched.colnames)
print()
print(catalog_matched)
['label', 'xcentroid', 'ycentroid', 'sky_centroid', 'aper_bkg_flux', 'aper_bkg_flux_err', 'aper30_flux', 'aper30_flux_err', 'aper50_flux', 'aper50_flux_err', 'aper70_flux', 'aper70_flux_err', 'aper_total_flux', 'aper_total_flux_err', 'aper30_abmag', 'aper30_abmag_err', 'aper50_abmag', 'aper50_abmag_err', 'aper70_abmag', 'aper70_abmag_err', 'aper_total_abmag', 'aper_total_abmag_err', 'aper30_vegamag', 'aper30_vegamag_err', 'aper50_vegamag', 'aper50_vegamag_err', 'aper70_vegamag', 'aper70_vegamag_err', 'aper_total_vegamag', 'aper_total_vegamag_err', 'CI_50_30', 'CI_70_50', 'CI_70_30', 'is_extended', 'sharpness', 'roundness', 'nn_label', 'nn_dist', 'isophotal_flux', 'isophotal_flux_err', 'isophotal_abmag', 'isophotal_abmag_err', 'isophotal_vegamag', 'isophotal_vegamag_err', 'isophotal_area', 'semimajor_sigma', 'semiminor_sigma', 'ellipticity', 'orientation', 'sky_orientation', 'sky_bbox_ll', 'sky_bbox_ul', 'sky_bbox_lr', 'sky_bbox_ur']
label xcentroid ... sky_bbox_ur
... deg,deg
----- --------- ... ---------------------------------------------
279 699.6194 ... 0.0014012516715396794,-0.0021896006200367536
97 695.9784 ... 0.0005389998999954074,-0.013423650921253322
226 813.5015 ... 359.9976535823431,-0.005105311443308225
46 549.8182 ... 0.004790003550302274,-0.016392374897726717
215 1005.1738 ... 359.9917040635833,-0.005293925402488532
200 709.1659 ... 0.0006785611150587396,-0.007255724510902833
57 464.0254 ... 0.0074540793697768955,-0.01631715481562233
332 559.8010 ... 0.005960722317554452,0.0004694646041521074
507 700.7060 ... 0.0023420425245532493,0.008883053154587555
47 378.5011 ... 0.010067025943936268,-0.016824564283321453
... ... ... ...
493 983.1955 ... 359.9935278138662,0.009502049963384659
121 797.5573 ... 359.9973085047211,-0.011502409523356372
561 731.5409 ... 0.0012936245426567097,0.011725235372408677
529 783.0152 ... 359.99960593740786,0.010451900061273882
547 198.9723 ... 0.017120936820355082,0.010738005080105698
515 52.3341 ... 0.02145648931823582,0.010141228126100167
287 705.1145 ... 0.0009235715435514828,-0.0009425474141427394
644 599.2656 ... 0.005699271854614755,0.015448428873674555
203 715.1993 ... 0.00026327399880813555,-0.0063540562358599985
521 165.6195 ... 0.018826768873529617,0.007992635141569202
Length = 472 rows
#match RA and Dec
idx, d2d, d3d = match_coordinates_sky(catalog_in, catalog_out)
sep_constraint = d2d < max_sep
catalog_in_matches = catalog_in[sep_constraint]
catalog_out_matches = catalog_out[idx[sep_constraint]]
print(catalog_out_matches)
<SkyCoord (ICRS): (ra, dec) in deg
[(1.47916289e-03, -2.31610481e-03), (6.10393891e-04, -1.34979997e-02),
(3.59997708e+02, -5.18614005e-03), (4.86501120e-03, -1.64819658e-02),
(3.59991769e+02, -5.37209780e-03), (7.43805639e-04, -7.33415414e-03),
(7.52327049e-03, -1.64000515e-02), (6.03726981e-03, 3.91367559e-04),
(2.42110129e-03, 8.80012581e-03), (1.01214996e-02, -1.69076744e-02),
(9.94360404e-04, -7.35216698e-03), (5.83897392e-03, -5.25776598e-03),
(3.59994410e+02, 6.59199633e-04), (3.59999625e+02, -1.41481846e-02),
(3.59998920e+02, 7.16509818e-04), (7.43113619e-04, -2.58011893e-03),
(3.59992081e+02, -1.38463226e-02), (3.59992465e+02, 3.04861585e-05),
(3.59999795e+02, 8.30291267e-04), (6.35283937e-03, -1.28934297e-02),
(8.27783943e-03, -6.05407300e-03), (3.59998585e+02, -1.71719695e-02),
(3.59999149e+02, -9.50928804e-03), (5.30152275e-03, 1.47512581e-02),
(1.07084405e-02, -1.42688852e-02), (6.32159569e-04, -5.06064334e-03),
(8.95527659e-03, -2.03206315e-03), (3.59997295e+02, 4.46474881e-04),
(3.59999190e+02, 4.78205144e-03), (3.59989949e+02, -1.57836205e-02),
(3.91370760e-03, -3.13847351e-03), (2.87513358e-03, -1.13890992e-02),
(1.19469082e-02, -5.02121827e-03), (3.59994259e+02, -6.89329746e-03),
(3.59999790e+02, -1.59075367e-02), (8.84423215e-04, -2.62459416e-03),
(4.59576547e-03, -1.49169791e-02), (1.07915775e-02, -9.98330020e-03),
(3.59996042e+02, 4.17546710e-03), (6.30252500e-03, -1.81726574e-02),
(3.59998004e+02, -8.08865437e-03), (3.59993887e+02, -1.28246130e-02),
(9.25967677e-03, -1.52765999e-02), (3.59992597e+02, -1.24829237e-02),
(1.00402963e-02, -1.17575115e-02), (3.59997247e+02, 5.32828329e-03),
(4.06140380e-04, -3.38406659e-03), (4.76658080e-03, 5.59346037e-03),
(3.59992425e+02, -5.80534149e-03), (5.42392754e-03, 4.82682001e-03),
(3.59996686e+02, 2.25683810e-03), (6.49972348e-04, -1.30488301e-03),
(3.59999699e+02, 1.37492773e-03), (4.01339785e-03, 6.33606861e-03),
(3.59993063e+02, -1.51653960e-02), (2.07251471e-02, 3.40067875e-03),
(3.59990498e+02, 6.85667289e-03), (1.22895365e-02, 5.39624613e-03),
(3.59992520e+02, -3.90702539e-03), (2.00136607e-02, 7.90853947e-03),
(3.59989825e+02, 4.00184671e-03), (1.34680973e-03, 9.34754906e-03),
(1.39124158e-03, 1.08880067e-02), (8.57189444e-03, -1.36090191e-02),
(8.03779476e-03, -1.32616086e-02), (4.42690585e-03, 1.30051989e-04),
(3.27008740e-03, 1.98179810e-03), (7.98011001e-03, 6.65543798e-03),
(6.59291039e-03, -1.43353528e-02), (3.59994987e+02, 7.29800170e-03),
(1.02879380e-02, -6.90845670e-03), (1.38902503e-02, 1.05429857e-02),
(3.59995745e+02, 1.38773437e-02), (3.59989443e+02, -9.25871542e-03),
(3.59999122e+02, 3.62913179e-03), (3.59991209e+02, 1.28421393e-02),
(3.59996042e+02, 1.72588256e-03), (8.94180412e-03, 3.97240215e-03),
(3.59996126e+02, 7.06438206e-03), (3.84466682e-03, 1.41959450e-02),
(3.59998793e+02, 1.21379427e-02), (1.01288670e-02, -9.28446318e-03),
(4.07508747e-03, 1.33109011e-02), (2.66544471e-04, 4.07523494e-03),
(9.58311547e-03, -1.36144829e-02), (3.59991052e+02, 1.16498458e-02),
(8.66941042e-03, 1.24739171e-02), (3.59996225e+02, -1.27367540e-02),
(5.34489037e-03, -4.83543523e-03), (3.59997457e+02, -2.88315479e-03),
(1.01860868e-02, 1.08690477e-02), (3.59997517e+02, -6.30726839e-03),
(3.59996365e+02, -8.00314824e-03), (3.59995198e+02, 8.86221977e-03),
(3.06308988e-03, -3.76733455e-03), (6.83977683e-03, -1.58531850e-03),
(8.30726490e-03, -1.13969672e-02), (2.10523967e-02, 8.19275656e-03),
(3.59998921e+02, 1.26241779e-02), (7.28785529e-04, 1.23879414e-03),
(3.59998358e+02, -1.27544239e-02), (3.59997625e+02, -1.71548098e-02),
(6.05459226e-03, -1.07083874e-02), (3.59994261e+02, -9.38491972e-03),
(3.59990353e+02, -5.25239826e-03), (3.59992202e+02, 7.78034939e-03),
(1.39084259e-02, 7.85224412e-03), (3.59999115e+02, 4.32288766e-03),
(5.06916209e-03, 5.47333494e-04), (1.42341137e-02, 1.49273231e-02),
(3.59993039e+02, 4.11166790e-03), (3.59992151e+02, -1.51538985e-02),
(3.59990380e+02, -6.66088099e-03), (6.29509591e-03, 9.44325327e-03),
(3.23687147e-03, 1.58618271e-02), (3.59996503e+02, 1.51591278e-02),
(9.93823908e-03, -1.58111025e-02), (7.17527617e-03, 1.53894267e-02),
(6.66416919e-03, 1.41833902e-02), (3.59992449e+02, 1.04806521e-02),
(6.90832904e-03, -1.80608973e-02), (1.83251161e-02, 1.12501624e-02),
(2.00054334e-03, 4.46408029e-03), (6.48694118e-03, -1.60798355e-02),
(6.94176538e-03, -1.10348461e-02), (1.45898377e-02, 9.54483318e-03),
(2.20396290e-02, 5.87103199e-03), (3.16730847e-03, -1.68167148e-02),
(1.11903299e-02, -2.56195638e-03), (3.59988895e+02, -6.49362081e-03),
(1.01404452e-02, -1.01350869e-02), (3.59989283e+02, -1.59411199e-02),
(3.59995561e+02, -4.50394425e-03), (1.01515146e-02, 1.21378256e-02),
(3.59994090e+02, 1.01325376e-02), (5.97770390e-03, 3.78719038e-03),
(3.59995869e+02, 9.93011649e-03), (3.59990674e+02, -1.32193992e-02),
(3.59995682e+02, -3.26526273e-03), (3.59995082e+02, -2.70676928e-03),
(6.76376452e-04, 1.46268220e-03), (3.59992198e+02, -5.90883617e-03),
(2.07783228e-02, 1.27910419e-02), (8.48086863e-03, -4.00572740e-04),
(1.05281415e-02, -9.28037579e-03), (3.59990460e+02, 8.88083463e-03),
(3.59992983e+02, 1.58987113e-02), (6.26044359e-03, 5.71838540e-04),
(3.59999594e+02, -1.57352289e-02), (3.59998597e+02, -1.09053286e-02),
(8.38939468e-05, -3.08039654e-03), (1.48621411e-03, 7.36126382e-03),
(2.58675439e-03, 6.56127761e-03), (1.40513796e-02, 5.20737493e-03),
(3.59997154e+02, 9.03965996e-04), (3.82338780e-05, -1.71254113e-02),
(3.59993465e+02, -3.02191674e-03), (2.37566166e-04, 1.46776449e-03),
(3.59991087e+02, -1.63085368e-02), (3.30250541e-03, -1.12131885e-02),
(6.81856240e-03, -1.79117592e-03), (2.36150741e-02, 6.44876758e-03),
(1.70806698e-03, 6.41913588e-03), (3.59998490e+02, -1.75853030e-02),
(7.93074393e-03, 1.36812124e-02), (3.59999550e+02, -2.52157496e-03),
(3.59994975e+02, 1.61903111e-02), (3.59999059e+02, -1.31494429e-02),
(8.37339872e-03, -1.68207438e-02), (3.59990005e+02, 6.52677310e-03),
(3.59993239e+02, 1.34353615e-02), (1.52664232e-02, 1.38052910e-02),
(3.59989941e+02, -1.49404978e-02), (3.05822112e-03, -1.28705692e-02),
(3.59993892e+02, -8.43689290e-03), (9.67900594e-03, 8.59514640e-03),
(1.90452823e-02, 8.86409680e-03), (3.59997821e+02, 1.56460463e-02),
(1.01981494e-02, -1.13844710e-02), (2.33478086e-03, 5.87034325e-03),
(1.79003242e-02, 1.07166726e-02), (1.66504575e-02, 4.89800786e-03),
(4.87545105e-03, -1.08953480e-02), (4.79465141e-03, -9.16735099e-04),
(4.30371023e-03, -2.63560248e-03), (5.24363673e-03, -1.85045616e-03),
(3.59994460e+02, 2.25038422e-03), (3.60914931e-03, -3.02467377e-03),
(1.07038299e-02, 9.40355126e-03), (1.32793785e-02, 1.10129526e-02),
(3.59997979e+02, -9.91934012e-03), (1.01274356e-03, 2.88934361e-03),
(9.65204392e-03, -1.69817636e-02), (3.59991837e+02, 1.35452644e-02),
(1.84037028e-02, 8.35486842e-03), (3.18039353e-03, -8.15092989e-03),
(3.59996671e+02, -1.73293261e-02), (7.39400882e-03, -1.08416053e-02),
(8.81718509e-04, -1.69106055e-02), (2.63057384e-03, 1.21803211e-02),
(1.52807192e-03, -1.39421871e-02), (1.07184632e-02, 6.90692664e-03),
(8.46057017e-03, 9.94517374e-03), (3.59991369e+02, 7.68309311e-03),
(3.59989754e+02, -8.02952764e-04), (3.59992116e+02, -6.21028970e-03),
(3.59993109e+02, 4.94635633e-03), (8.66588251e-03, -4.23046595e-03),
(3.59993109e+02, 4.76802551e-03), (3.59995424e+02, 8.89144829e-03),
(2.05820265e-02, 5.55250243e-03), (2.36164661e-04, 1.21797538e-02),
(9.07777470e-03, -4.65311016e-03), (3.59994916e+02, 6.23696229e-04),
(3.59994129e+02, -1.08511936e-02), (3.59994649e+02, -8.74699693e-03),
(1.27615646e-03, -1.48948062e-02), (3.59989226e+02, -7.37691655e-03),
(3.59998768e+02, 7.31831388e-03), (3.59999124e+02, 1.50337156e-02),
(1.68577527e-03, 1.48219258e-02), (1.03035540e-02, 7.78421539e-03),
(6.29867113e-03, -7.96166419e-03), (3.59991658e+02, -2.51070090e-03),
(3.59995591e+02, 1.68988688e-02), (3.59989167e+02, -4.85697509e-03),
(1.78806762e-02, 1.26818346e-02), (1.90619451e-02, 3.63842192e-03),
(5.98951088e-03, 1.02671967e-02), (1.14973728e-02, -3.47900206e-03),
(1.22630317e-03, -1.43958905e-02), (1.36001664e-02, 1.15835254e-02),
(3.59990290e+02, 4.40280251e-03), (1.63186723e-02, 7.71640460e-03),
(4.29717688e-03, 8.71071860e-03), (2.34341728e-02, 6.92053676e-03),
(3.59996065e+02, -9.01216793e-03), (3.59995608e+02, -6.30888529e-03),
(3.59999053e+02, -3.15923359e-03), (3.40279624e-03, -1.01839431e-02),
(7.19233572e-04, 1.28966914e-02), (3.59992440e+02, -8.76249406e-04),
(3.48839606e-03, -1.42174525e-02), (2.32160189e-03, -8.30090200e-03),
(3.59993591e+02, 6.21702842e-03), (3.59994589e+02, -1.13014565e-02),
(3.59994838e+02, 5.40878650e-03), (1.89874316e-02, 4.45528459e-03),
(3.59998453e+02, -8.62599136e-03), (1.16429472e-02, 8.34865702e-03),
(7.91380374e-03, -3.10765795e-04), (3.59993580e+02, -1.54101546e-02),
(3.59998916e+02, 4.27098672e-03), (1.29164970e-03, 1.35820702e-02),
(3.59992880e+02, -7.08184358e-03), (1.58826163e-02, 1.05492395e-02),
(2.07556249e-02, 9.94972678e-03), (9.92219551e-03, -1.76725253e-02),
(3.59997073e+02, 1.22115825e-02), (3.59991502e+02, -7.16181189e-03),
(8.70505747e-03, -3.89731471e-03), (7.54629499e-03, -6.26788852e-03),
(3.59993823e+02, -9.31104644e-03), (4.20800427e-04, -1.70229970e-02),
(6.48692641e-03, -1.37084412e-02), (6.84011776e-03, -1.62771903e-02),
(3.59991979e+02, 1.33920966e-02), (9.76955332e-03, 1.33238265e-02),
(1.05719714e-02, -2.04968766e-03), (3.59993021e+02, -6.86783536e-04),
(3.59994021e+02, 4.11398044e-04), (7.34138944e-03, 2.19734826e-03),
(3.59998364e+02, 1.03401345e-02), (3.59995658e+02, -1.69111506e-02),
(3.59997106e+02, -1.67524852e-03), (5.26476037e-03, 1.29828136e-02),
(1.80772626e-03, -4.54187324e-03), (8.38613256e-03, 7.14799848e-03),
(3.59997330e+02, 9.24881068e-03), (1.74319983e-02, 7.46966055e-03),
(2.80098192e-03, -9.57767413e-03), (9.31952959e-03, 8.14719817e-03),
(3.59998934e+02, -1.46432662e-02), (3.59994653e+02, 1.96770407e-03),
(7.49672942e-03, -1.24968042e-02), (9.31805077e-03, 5.67188157e-03),
(6.64756308e-03, 1.35459157e-02), (4.61339067e-03, -1.72929944e-02),
(3.59992434e+02, 6.85546017e-03), (1.86412480e-02, 1.29351508e-02),
(2.32147952e-02, 6.00316158e-03), (1.23703644e-02, -9.83991648e-04),
(3.59992912e+02, -7.38499827e-03), (6.83668562e-03, 8.04293268e-03),
(1.01659471e-02, 1.41373156e-02), (4.64594112e-03, 4.80031633e-03),
(3.59994852e+02, -5.19257746e-03), (3.62347542e-03, -4.89526356e-04),
(3.01130383e-03, 2.32543891e-03), (3.59997412e+02, -1.03372012e-02),
(6.66752524e-03, -2.81093447e-03), (9.55520009e-03, -1.63662189e-04),
(3.59997203e+02, 1.29357150e-02), (3.26069766e-03, 3.91919374e-03),
(2.12885316e-02, 8.31356304e-03), (3.59998467e+02, 4.61930219e-03),
(5.40591715e-05, 3.38331636e-03), (2.09612794e-03, 5.62707577e-03),
(5.47593347e-03, -1.47486685e-02), (5.60408971e-03, 1.07708605e-02),
(6.32101348e-03, -4.26359154e-03), (3.59990383e+02, -3.59102310e-03),
(2.86272072e-03, -1.18564733e-02), (1.13124131e-03, 9.27272430e-03),
(7.98809169e-03, -1.56571376e-02), (1.25022103e-02, 3.49490742e-03),
(3.47307123e-03, -3.38927409e-03), (7.15451050e-03, -6.62685286e-05),
(3.59994350e+02, -6.20118559e-04), (4.42401242e-03, -1.51917490e-02),
(3.59996877e+02, 1.47593115e-02), (3.59995370e+02, -1.78361263e-03),
(3.59992024e+02, 8.54686605e-03), (1.01557305e-02, -3.10622550e-03),
(1.86127308e-02, 1.08980502e-02), (3.59995940e+02, 1.97153077e-04),
(1.59004112e-02, 1.16260924e-02), (4.29260101e-03, 1.35043351e-02),
(3.59997790e+02, -1.21693513e-02), (3.59994793e+02, -1.23237023e-02),
(8.56315512e-03, 5.17754377e-03), (7.23606967e-03, -6.16286809e-03),
(3.75703190e-03, 1.28810457e-02), (1.07110860e-02, 1.16973617e-02),
(8.92701493e-03, 5.26676495e-03), (4.79565756e-03, -1.76834267e-02),
(3.59994990e+02, -1.11852807e-02), (1.77841432e-02, 7.14351731e-03),
(1.44191225e-03, -2.05045770e-03), (3.59994610e+02, 1.39354585e-02),
(1.95022623e-02, 1.49161200e-02), (2.07814298e-02, 1.47533429e-02),
(3.59992813e+02, 7.70774661e-03), (8.03758307e-03, 4.92764463e-03),
(3.59996380e+02, 1.32027700e-02), (3.59998807e+02, 8.96708720e-03),
(3.59992248e+02, 1.54446994e-02), (2.62832725e-03, -1.13535022e-02),
(3.59997946e+02, -6.15001774e-03), (7.20501531e-03, -1.26459157e-02),
(3.59997754e+02, 4.76707736e-03), (3.59999652e+02, 1.52827041e-02),
(3.59994000e+02, -6.99326175e-03), (3.59993815e+02, -1.30275813e-02),
(4.57206684e-03, 1.20115518e-02), (1.78240228e-02, 8.13476892e-03),
(4.99846395e-03, -2.99191416e-03), (3.59997737e+02, 5.83743156e-03),
(3.59994799e+02, -1.65737689e-02), (3.59991445e+02, -8.06356131e-03),
(3.86900498e-03, 9.50203429e-03), (6.40517566e-03, 5.04325821e-03),
(1.05881926e-02, 5.32561084e-03), (3.59999832e+02, 2.06269444e-03),
(1.74155524e-02, 7.81552155e-03), (3.59993925e+02, 1.17465553e-02),
(3.59991414e+02, 9.48040217e-03), (3.59991494e+02, -5.28749672e-04),
(2.94418978e-03, -8.48331218e-03), (4.26693115e-03, 6.40432590e-03),
(3.59990739e+02, -1.67343029e-03), (1.32281800e-02, 8.91880456e-03),
(7.42089344e-03, -4.07206326e-03), (3.59994116e+02, -8.75853441e-03),
(4.49032853e-03, 5.94419974e-03), (3.59996182e+02, -1.41917933e-02),
(3.98647859e-03, -6.35441686e-03), (3.59994773e+02, 1.35624235e-02),
(3.59996548e+02, 9.88252463e-03), (4.14480012e-03, -1.61590520e-03),
(1.65411121e-02, 1.09663088e-02), (1.01785688e-02, -8.69957883e-03),
(2.12679144e-02, 1.46321473e-02), (3.59991334e+02, -1.21769551e-02),
(1.08065564e-02, -1.80108328e-02), (3.59999258e+02, 1.29579111e-02),
(3.59993371e+02, -1.43529782e-02), (3.59993738e+02, -5.24241836e-04),
(8.43143315e-03, -1.18534083e-02), (2.88020885e-03, 1.60657165e-02),
(5.92248049e-03, 8.40756226e-03), (3.59991066e+02, 8.74299852e-03),
(3.59992659e+02, -2.49202581e-03), (3.59994956e+02, 1.06955234e-02),
(3.59989985e+02, 6.88381826e-03), (3.59999220e+02, -1.38261630e-02),
(6.28014692e-03, 1.07568261e-02), (1.05342534e-02, 3.51190473e-03),
(3.59999802e+02, -1.72983227e-02), (2.26231466e-03, -1.36030308e-02),
(2.29691227e-02, 1.15034406e-02), (1.19765697e-02, 9.41743313e-04),
(5.37032372e-03, 1.11596300e-02), (3.59998814e+02, -1.42241351e-02),
(3.59990324e+02, 2.85029524e-03), (1.96436906e-03, -1.35097502e-02),
(1.42603663e-02, 4.86052610e-03), (4.80357865e-03, -1.20185732e-02),
(3.59994970e+02, 1.20044812e-02), (7.11122206e-03, 5.62716138e-03),
(5.78453204e-03, 5.53773099e-03), (6.20818784e-03, 1.15529349e-02),
(1.08511341e-02, 3.74119331e-04), (8.93204637e-03, -1.55764298e-03),
(3.59992655e+02, 2.83166625e-03), (3.59992684e+02, 1.72468667e-03),
(3.59992439e+02, 5.27964745e-03), (3.59993835e+02, 4.61899156e-03),
(1.09372318e-02, -1.46693796e-02), (5.30988932e-03, 3.24725220e-03),
(8.09042650e-03, -2.75801686e-03), (3.59995589e+02, -1.38961972e-03),
(6.95158407e-03, 7.81232847e-03), (1.15068498e-02, 1.12098412e-02),
(3.59992442e+02, -1.59647927e-02), (1.02735271e-02, -4.90335300e-03),
(1.08703895e-02, -3.22557540e-03), (6.76969571e-03, 1.09101003e-02),
(1.38675982e-02, 4.07953685e-03), (3.59995204e+02, -1.09878654e-03),
(3.59997579e+02, 2.83069106e-03), (3.59993413e+02, -1.21323087e-02),
(2.06972647e-02, 1.20897480e-02), (4.81714862e-03, 6.08234670e-03),
(4.05706564e-03, 7.98315700e-03), (6.86603747e-03, -1.03623709e-02),
(3.59991260e+02, 1.07571456e-02), (4.10238429e-03, 1.49475114e-02),
(3.88097900e-03, -1.62764318e-02), (1.08130881e-03, -1.11875579e-02),
(8.54082988e-03, -7.98164159e-03), (5.64347349e-03, 1.19672368e-03),
(6.44445977e-03, 5.44218348e-03), (3.59998144e+02, 7.10879762e-03),
(3.59996614e+02, 1.17735512e-02), (3.59990181e+02, 1.19644084e-03),
(1.20930005e-02, 9.43593877e-03), (2.30203301e-02, 4.05926883e-03),
(2.00980641e-02, 5.56607115e-03), (3.59997682e+02, -4.85666828e-03),
(6.67841855e-04, 3.55738960e-03), (1.37472292e-02, 9.00771314e-03),
(3.59989934e+02, -8.22033150e-03), (3.59996941e+02, 6.69318403e-03),
(5.27855624e-03, -1.43565761e-02), (7.49102999e-03, 1.54192865e-02),
(3.59994733e+02, -1.40194501e-02), (6.18694012e-03, 5.76388935e-03),
(7.26954435e-03, -1.00700381e-02), (2.05362039e-02, 7.75353727e-03),
(3.59998930e+02, 3.02203611e-03), (3.59998141e+02, -1.70114846e-02),
(3.59993732e+02, 9.26188086e-03), (3.59997623e+02, -1.17701702e-02),
(1.69466238e-03, 1.13798358e-02), (3.59999990e+02, 1.00790925e-02),
(1.80146921e-02, 9.82093851e-03), (2.24523681e-02, 8.75465209e-03),
(1.38153327e-03, -1.49367385e-03), (6.11697750e-03, 1.51960454e-02),
(6.07946719e-04, -6.75778171e-03), (1.88782429e-02, 7.91701158e-03)]>
Now, catalog_in_matches and catalog_out_matches are the matched sources in catalog_in and catalog_out, respectively, which are separated less than our max_sep value.
print('Number of matched sources using max separation of '+str(max_sep)+': ',len(catalog_matched))
Number of matched sources using max separation of 0.04 arcsec: 472
The simulated positions are in red and the sources found with source catalog are marked in blue. Matched sources from both are marked in green.
#rrr = catalog_in_matches.ra.deg
#ddd = catalog_in_matches.dec.deg
rrr = catalog_matched['sky_centroid'].ra.deg
ddd = catalog_matched['sky_centroid'].dec.deg
# make sure ra is in proper range for display
plt.figure(figsize=(20,20))
for i in range(len(rrr)):
if (rrr[i]>180.):
rrr[i] -= 360.
plt.scatter(rrr, ddd, lw=1, s=108,color='green')
plt.scatter(sim_ra, sim_dec,lw=1, s=18,color='red')
plt.scatter(cat_ra, cat_dec,lw=1, s=18,color='blue')
<matplotlib.collections.PathCollection at 0x7f2167a1ba00>
# Convert matched RA/Dec values back to x, y to plot on image
#print(catalog_out_matches)
# Read in wcs values from file header (in extension 1)
#hdu = fits.open(input_file)[1]
#wcs = WCS(hdu.header)
# convert positions from RA/Dec back to x,y
#x_matched, y_matched = wcs.world_to_pixel(catalog_out_matches)
#print(x_matched)
# Plot all matched sources in red
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
#plt.scatter(x_matched, y_matched,lw=1, s=10,color='red')
plt.scatter(catalog_matched['xcentroid'], catalog_matched['ycentroid'], lw=1, s=10, color='red')
<matplotlib.collections.PathCollection at 0x7f2167f49220>
The full source_catalog output is shown with red dots and the matched sources are shown with smaller white dots over the red dots. This shows the sources that were found in the catalog (source_catalog step) but not listed as a match between the input and calculated catalogs.
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
plt.scatter(data['xcentroid'], data['ycentroid'],lw=1, s=10,color='red')
#plt.scatter(x_matched, y_matched,lw=1, s=5,color='white')
plt.scatter(catalog_matched['xcentroid'], catalog_matched['ycentroid'], lw=1, s=5, color='white')
<matplotlib.collections.PathCollection at 0x7f2167c34af0>
Are there more stars/galaxies in the simulation input catalogs than actually fit on the combined image? That would explain the sources beyond image edges.
print(catalog_in)
<SkyCoord (ICRS): (ra, dec) in deg
[(2.22919530e-02, 0.00666596), (3.59986872e+02, 0.00303326),
(8.52752901e-05, -0.0162536 ), ..., (2.40891246e-02, -0.00851495),
(2.51575873e-02, -0.00331181), (1.81801630e-02, 0.01669308)]>
# Read in wcs values from file header (in extension 1)
hdu = fits.open(input_file)[1]
wcs = WCS(hdu.header)
# convert positions from RA/Dec back to x,y
x_sim, y_sim = wcs.world_to_pixel(catalog_in)
# Many sources go beyond image edges. Only display sources that were actually in FOV of combined image.
minval = 0
maxval = 1140
ind = np.where((x_sim > minval) & (x_sim < 1110)& (y_sim > minval) & (y_sim < maxval))
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
plt.scatter(x_sim[ind], y_sim[ind],lw=1, s=5,color='red')
<matplotlib.collections.PathCollection at 0x7f2167d7a430>
Input catalog 'combined' has Ks and J columns for stars and flux for galaxies. Output source catalog 'catalog' has aper_total_flux, 'isophotal_flux', 'aper_total_abmag', 'aper_total_vegamag', 'isophotal_abmag' and isophotal_vegamag.
The first plot compares the magnitudes for the input simulated catalog (in blue) and the sources found with source catalog in green.
flux, wref = mag2flux(combined_matched['Ks'], band="Ks", system="2MASS")
fnew = extrapolate_flux(flux, wref, 7.7, combined_matched['Teff'])
F770W_ABmag = -2.5*np.log10((fnew.to(u.Jy)).value) + 8.9
2021-08-28 02:15:00,124 - stpipe - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/astropy/units/quantity.py:486: RuntimeWarning: divide by zero encountered in true_divide result = super().__array_ufunc__(function, method, *arrays, **kwargs) 2021-08-28 02:15:00,129 - stpipe - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.8/site-packages/astropy/units/quantity.py:486: RuntimeWarning: invalid value encountered in true_divide result = super().__array_ufunc__(function, method, *arrays, **kwargs)
Magnitude Ks
------------------
20.86240321367722
20.483606433999253
20.108458894245278
20.101450493405196
20.000996748030655
19.985811879543807
19.957576831038956
19.928456479003753
19.89751610496635
19.89751610496635
...
14.595944792835134
14.565132036559508
14.414375725214086
13.952102383594207
13.881869560311879
12.776853158671695
11.94688436179194
--
--
--
--
Length = 472 rows in 2MASS band Ks -> Flux: [3.01279214e-06 4.27059003e-06 6.03318854e-06 6.07225859e-06
6.66088224e-06 6.75469437e-06 6.93265715e-06 7.12111277e-06
7.32696325e-06 7.32696325e-06 7.41966127e-06 7.48211059e-06
7.51353208e-06 7.54508553e-06 7.78273656e-06 7.80887278e-06
7.81542054e-06 7.84166653e-06 7.85482255e-06 7.87459799e-06
7.91429835e-06 8.08188242e-06 8.19099382e-06 8.19786199e-06
8.21850107e-06 8.24610069e-06 8.30157831e-06 8.32945692e-06
8.42777142e-06 8.50583192e-06 8.53439646e-06 8.54871469e-06
8.67139356e-06 8.72241867e-06 8.81058978e-06 8.82537138e-06
8.84017778e-06 8.87730254e-06 8.91458320e-06 8.93702671e-06
8.94452043e-06 8.97455819e-06 9.07287934e-06 9.10334816e-06
9.11862092e-06 9.21079708e-06 9.22625010e-06 9.24172906e-06
9.27276492e-06 9.28832191e-06 9.31170635e-06 9.33514966e-06
9.33514966e-06 9.46911432e-06 9.49295392e-06 9.50888033e-06
9.54881334e-06 9.59695437e-06 9.60500144e-06 9.62111583e-06
9.66962139e-06 9.71837149e-06 9.71837149e-06 9.73467608e-06
9.74283863e-06 9.75918427e-06 9.79195786e-06 9.85783560e-06
9.89094048e-06 9.97418990e-06 1.00497133e-05 1.00834626e-05
1.01683324e-05 1.03229022e-05 1.03488913e-05 1.03662537e-05
1.04010660e-05 1.04185160e-05 1.04798217e-05 1.05326564e-05
1.05414881e-05 1.05712618e-05 1.05782755e-05 1.06134138e-05
1.06275018e-05 1.06698781e-05 1.06982227e-05 1.07124233e-05
1.07408810e-05 1.07765594e-05 1.08770909e-05 1.08915288e-05
1.09059860e-05 1.09277077e-05 1.09567373e-05 1.10077248e-05
1.10077248e-05 1.10296491e-05 1.10442896e-05 1.10736289e-05
1.10956845e-05 1.11030461e-05 1.11621153e-05 1.11621153e-05
1.11917676e-05 1.12140585e-05 1.12438488e-05 1.12438488e-05
1.12587736e-05 1.12662434e-05 1.13186712e-05 1.13487394e-05
1.13864370e-05 1.13939915e-05 1.14015511e-05 1.14546085e-05
1.14546085e-05 1.15155480e-05 1.15155480e-05 1.15614652e-05
1.15768117e-05 1.16075656e-05 1.16152668e-05 1.16384013e-05
1.16461230e-05 1.16538498e-05 1.16693188e-05 1.17547663e-05
1.17938126e-05 1.18016374e-05 1.18722948e-05 1.19830480e-05
1.19830480e-05 1.19909983e-05 1.20388114e-05 1.20788012e-05
1.21672471e-05 1.21672471e-05 1.21995695e-05 1.21995695e-05
1.22157630e-05 1.24117687e-05 1.24447407e-05 1.24447407e-05
1.24612595e-05 1.24695272e-05 1.24860789e-05 1.25026526e-05
1.26192863e-05 1.26528096e-05 1.26612043e-05 1.27032616e-05
1.27962800e-05 1.28302734e-05 1.28387859e-05 1.29585552e-05
1.29585552e-05 1.30361392e-05 1.30707698e-05 1.30707698e-05
1.32893056e-05 1.32981226e-05 1.33688697e-05 1.33777395e-05
1.35204595e-05 1.36647021e-05 1.37100927e-05 1.37556342e-05
1.38379902e-05 1.38839565e-05 1.38839565e-05 1.39670809e-05
1.39856204e-05 1.39856204e-05 1.41442036e-05 1.42666853e-05
1.43045849e-05 1.43235725e-05 1.43902276e-05 1.45148398e-05
1.45437493e-05 1.45920599e-05 1.46308239e-05 1.46308239e-05
1.46989089e-05 1.46989089e-05 1.48360307e-05 1.48853122e-05
1.49248552e-05 1.51233294e-05 1.51874417e-05 1.52887391e-05
1.53442768e-05 1.53814139e-05 1.54093258e-05 1.54559581e-05
1.55308635e-05 1.55402521e-05 1.56250059e-05 1.56817651e-05
1.56912450e-05 1.57959027e-05 1.58245667e-05 1.58820508e-05
1.59686687e-05 1.60266763e-05 1.60557590e-05 1.61726187e-05
1.61921779e-05 1.64287409e-05 1.64784582e-05 1.64884197e-05
1.64884197e-05 1.65083608e-05 1.66184685e-05 1.67596685e-05
1.69020681e-05 1.70148019e-05 1.71905075e-05 1.73890324e-05
1.77285861e-05 1.77607572e-05 1.77929867e-05 1.78145055e-05
1.79008413e-05 1.79333250e-05 1.79333250e-05 1.80966299e-05
1.81185159e-05 1.81294688e-05 1.81623674e-05 1.83277579e-05
1.84388542e-05 1.84946546e-05 1.85618380e-05 1.85730589e-05
1.86630710e-05 1.88786018e-05 1.91197172e-05 1.91775780e-05
1.91891712e-05 1.94695194e-05 1.95166407e-05 1.95166407e-05
1.96824651e-05 1.97181818e-05 1.97301018e-05 1.97420290e-05
1.98257213e-05 1.98616980e-05 2.00789332e-05 2.02128560e-05
2.02740249e-05 2.02985443e-05 2.03722805e-05 2.05205575e-05
2.06506823e-05 2.07066309e-05 2.07189739e-05 2.09424114e-05
2.13837943e-05 2.14987886e-05 2.15757948e-05 2.16144013e-05
2.19257505e-05 2.20305270e-05 2.20699471e-05 2.22415845e-05
2.22813823e-05 2.23611917e-05 2.25485271e-05 2.26697849e-05
2.27645471e-05 2.28460872e-05 2.28869666e-05 2.30364861e-05
2.30495456e-05 2.30495456e-05 2.30756868e-05 2.31542884e-05
2.32595071e-05 2.33255115e-05 2.34182324e-05 2.35780409e-05
2.36047814e-05 2.37254898e-05 2.44905577e-05 2.46018487e-05
2.46996432e-05 2.48822941e-05 2.50520934e-05 2.51516777e-05
2.53951763e-05 2.54239777e-05 2.54672411e-05 2.56265044e-05
2.57137947e-05 2.57867638e-05 2.58306445e-05 2.59774537e-05
2.59774537e-05 2.60069155e-05 2.61250973e-05 2.61695538e-05
2.61843894e-05 2.62884746e-05 2.64528737e-05 2.66333909e-05
2.66635966e-05 2.69369944e-05 2.73523564e-05 2.77426594e-05
2.80589079e-05 2.80911693e-05 2.81249499e-05 2.81587711e-05
2.85506507e-05 2.85849838e-05 2.88958459e-05 2.99027209e-05
3.01191249e-05 3.01734701e-05 3.02097547e-05 3.07038893e-05
3.09446805e-05 3.09632810e-05 3.10751185e-05 3.13941902e-05
3.18119747e-05 3.20807276e-05 3.21579303e-05 3.27429038e-05
3.29600501e-05 3.32185350e-05 3.46456235e-05 3.54245445e-05
3.57667762e-05 3.61992188e-05 3.67471321e-05 3.79590938e-05
3.82797786e-05 3.84180430e-05 3.86495943e-05 3.86976757e-05
3.88191603e-05 3.88191603e-05 3.95561189e-05 3.95809237e-05
3.98048678e-05 3.99548674e-05 4.04082661e-05 4.09180794e-05
4.11753930e-05 4.16948847e-05 4.34561611e-05 4.34561611e-05
4.36746434e-05 4.46434923e-05 4.49242332e-05 4.55480931e-05
4.56910834e-05 4.58345226e-05 4.62965610e-05 4.67632570e-05
4.71754736e-05 4.75614990e-05 4.91990934e-05 5.06384795e-05
5.09888739e-05 5.10848561e-05 5.13738880e-05 5.34769357e-05
5.55038117e-05 5.83557094e-05 5.99172328e-05 6.09401169e-05
6.15205406e-05 6.38980466e-05 6.39413267e-05 6.79130301e-05
6.90256622e-05 7.03944407e-05 7.16932091e-05 7.33131782e-05
7.39613527e-05 7.52239926e-05 7.70801571e-05 7.87530785e-05
7.89005046e-05 8.07416132e-05 8.25741890e-05 8.50824871e-05
8.56145636e-05 8.58818484e-05 8.85458048e-05 8.90440107e-05
8.98805910e-05 9.31899867e-05 9.34226620e-05 9.67417800e-05
9.96183139e-05 1.00053991e-04 1.02388707e-04 1.05236145e-04
1.05630519e-04 1.11072583e-04 1.13251811e-04 1.14031116e-04
1.14684631e-04 1.15144319e-04 1.15605850e-04 1.16069230e-04
1.27255001e-04 1.28791364e-04 1.39041200e-04 1.42663155e-04
1.54503139e-04 1.55451849e-04 1.56269665e-04 1.56406385e-04
1.62328917e-04 1.67081831e-04 1.73484444e-04 1.82032707e-04
1.82910365e-04 1.86813490e-04 1.88217100e-04 1.88588221e-04
2.03658780e-04 2.18916126e-04 2.26075728e-04 2.29569297e-04
2.35809647e-04 2.44001880e-04 2.53696727e-04 2.54026439e-04
2.92712299e-04 3.11178933e-04 3.25501567e-04 3.28755549e-04
3.30472978e-04 3.50017967e-04 3.59098450e-04 3.66040926e-04
3.83711622e-04 3.98491438e-04 4.32269684e-04 4.43532497e-04
5.01225556e-04 5.16234099e-04 5.68069522e-04 6.27143347e-04
6.30880897e-04 6.36739187e-04 6.98896707e-04 7.44336141e-04
7.49118509e-04 8.01996302e-04 8.28825166e-04 8.58015300e-04
9.43029406e-04 9.67280735e-04 9.95125008e-04 1.14335255e-03
1.75020734e-03 1.86716471e-03 5.16641385e-03 1.10962622e-02
6.66700000e+03 6.66700000e+03 6.66700000e+03 6.66700000e+03] Jy at 2.159 micron microns
Assuming T= Teff
------------------
2757.146044015592
2864.5780913802623
2959.246247754656
2961.0435983505117
2986.9259084904584
2990.8579862142174
2997.4167143341747
3004.1930064939534
3011.409603039126
3011.409603039126
...
5783.502069748899
5778.862163941193
5733.506895774656
5193.997188026154
5115.269231711902
4855.908749660536
4747.458346750021
--
--
--
--
Length = 472 rows K, Flux: [3.01279214e-03 4.27059003e-03 6.03318854e-03 6.07225859e-03
6.66088224e-03 6.75469437e-03 6.93265715e-03 7.12111277e-03
7.32696325e-03 7.32696325e-03 7.41966127e-03 7.48211059e-03
7.51353208e-03 7.54508553e-03 7.78273656e-03 7.80887278e-03
7.81542054e-03 7.84166653e-03 7.85482255e-03 7.87459799e-03
7.91429835e-03 8.08188242e-03 8.19099382e-03 8.19786199e-03
8.21850107e-03 8.24610069e-03 8.30157831e-03 8.32945692e-03
8.42777142e-03 8.50583192e-03 8.53439646e-03 8.54871469e-03
8.67139356e-03 8.72241867e-03 8.81058978e-03 8.82537138e-03
8.84017778e-03 8.87730254e-03 8.91458320e-03 8.93702671e-03
8.94452043e-03 8.97455819e-03 9.07287934e-03 9.10334816e-03
9.11862092e-03 9.21079708e-03 9.22625010e-03 9.24172906e-03
9.27276492e-03 9.28832191e-03 9.31170635e-03 9.33514966e-03
9.33514966e-03 9.46911432e-03 9.49295392e-03 9.50888033e-03
9.54881334e-03 9.59695437e-03 9.60500144e-03 9.62111583e-03
9.66962139e-03 9.71837149e-03 9.71837149e-03 9.73467608e-03
9.74283863e-03 9.75918427e-03 9.79195786e-03 9.85783560e-03
9.89094048e-03 9.97418990e-03 1.00497133e-02 1.00834626e-02
1.01683324e-02 1.03229022e-02 1.03488913e-02 1.03662537e-02
1.04010660e-02 1.04185160e-02 1.04798217e-02 1.05326564e-02
1.05414881e-02 1.05712618e-02 1.05782755e-02 1.06134138e-02
1.06275018e-02 1.06698781e-02 1.06982227e-02 1.07124233e-02
1.07408810e-02 1.07765594e-02 1.08770909e-02 1.08915288e-02
1.09059860e-02 1.09277077e-02 1.09567373e-02 1.10077248e-02
1.10077248e-02 1.10296491e-02 1.10442896e-02 1.10736289e-02
1.10956845e-02 1.11030461e-02 1.11621153e-02 1.11621153e-02
1.11917676e-02 1.12140585e-02 1.12438488e-02 1.12438488e-02
1.12587736e-02 1.12662434e-02 1.13186712e-02 1.13487394e-02
1.13864370e-02 1.13939915e-02 1.14015511e-02 1.14546085e-02
1.14546085e-02 1.15155480e-02 1.15155480e-02 1.15614652e-02
1.15768117e-02 1.16075656e-02 1.16152668e-02 1.16384013e-02
1.16461230e-02 1.16538498e-02 1.16693188e-02 1.17547663e-02
1.17938126e-02 1.18016374e-02 1.18722948e-02 1.19830480e-02
1.19830480e-02 1.19909983e-02 1.20388114e-02 1.20788012e-02
1.21672471e-02 1.21672471e-02 1.21995695e-02 1.21995695e-02
1.22157630e-02 1.24117687e-02 1.24447407e-02 1.24447407e-02
1.24612595e-02 1.24695272e-02 1.24860789e-02 1.25026526e-02
1.26192863e-02 1.26528096e-02 1.26612043e-02 1.27032616e-02
1.27962800e-02 1.28302734e-02 1.28387859e-02 1.29585552e-02
1.29585552e-02 1.30361392e-02 1.30707698e-02 1.30707698e-02
1.32893056e-02 1.32981226e-02 1.33688697e-02 1.33777395e-02
1.35204595e-02 1.36647021e-02 1.37100927e-02 1.37556342e-02
1.38379902e-02 1.38839565e-02 1.38839565e-02 1.39670809e-02
1.39856204e-02 1.39856204e-02 1.41442036e-02 1.42666853e-02
1.43045849e-02 1.43235725e-02 1.43902276e-02 1.45148398e-02
1.45437493e-02 1.45920599e-02 1.46308239e-02 1.46308239e-02
1.46989089e-02 1.46989089e-02 1.48360307e-02 1.48853122e-02
1.49248552e-02 1.51233294e-02 1.51874417e-02 1.52887391e-02
1.53442768e-02 1.53814139e-02 1.54093258e-02 1.54559581e-02
1.55308635e-02 1.55402521e-02 1.56250059e-02 1.56817651e-02
1.56912450e-02 1.57959027e-02 1.58245667e-02 1.58820508e-02
1.59686687e-02 1.60266763e-02 1.60557590e-02 1.61726187e-02
1.61921779e-02 1.64287409e-02 1.64784582e-02 1.64884197e-02
1.64884197e-02 1.65083608e-02 1.66184685e-02 1.67596685e-02
1.69020681e-02 1.70148019e-02 1.71905075e-02 1.73890324e-02
1.77285861e-02 1.77607572e-02 1.77929867e-02 1.78145055e-02
1.79008413e-02 1.79333250e-02 1.79333250e-02 1.80966299e-02
1.81185159e-02 1.81294688e-02 1.81623674e-02 1.83277579e-02
1.84388542e-02 1.84946546e-02 1.85618380e-02 1.85730589e-02
1.86630710e-02 1.88786018e-02 1.91197172e-02 1.91775780e-02
1.91891712e-02 1.94695194e-02 1.95166407e-02 1.95166407e-02
1.96824651e-02 1.97181818e-02 1.97301018e-02 1.97420290e-02
1.98257213e-02 1.98616980e-02 2.00789332e-02 2.02128560e-02
2.02740249e-02 2.02985443e-02 2.03722805e-02 2.05205575e-02
2.06506823e-02 2.07066309e-02 2.07189739e-02 2.09424114e-02
2.13837943e-02 2.14987886e-02 2.15757948e-02 2.16144013e-02
2.19257505e-02 2.20305270e-02 2.20699471e-02 2.22415845e-02
2.22813823e-02 2.23611917e-02 2.25485271e-02 2.26697849e-02
2.27645471e-02 2.28460872e-02 2.28869666e-02 2.30364861e-02
2.30495456e-02 2.30495456e-02 2.30756868e-02 2.31542884e-02
2.32595071e-02 2.33255115e-02 2.34182324e-02 2.35780409e-02
2.36047814e-02 2.37254898e-02 2.44905577e-02 2.46018487e-02
2.46996432e-02 2.48822941e-02 2.50520934e-02 2.51516777e-02
2.53951763e-02 2.54239777e-02 2.54672411e-02 2.56265044e-02
2.57137947e-02 2.57867638e-02 2.58306445e-02 2.59774537e-02
2.59774537e-02 2.60069155e-02 2.61250973e-02 2.61695538e-02
2.61843894e-02 2.62884746e-02 2.64528737e-02 2.66333909e-02
2.66635966e-02 2.69369944e-02 2.73523564e-02 2.77426594e-02
2.80589079e-02 2.80911693e-02 2.81249499e-02 2.81587711e-02
2.85506507e-02 2.85849838e-02 2.88958459e-02 2.99027209e-02
3.01191249e-02 3.01734701e-02 3.02097547e-02 3.07038893e-02
3.09446805e-02 3.09632810e-02 3.10751185e-02 3.13941902e-02
3.18119747e-02 3.20807276e-02 3.21579303e-02 3.27429038e-02
3.29600501e-02 3.32185350e-02 3.46456235e-02 3.54245445e-02
3.57667762e-02 3.61992188e-02 3.67471321e-02 3.79590938e-02
3.82797786e-02 3.84180430e-02 3.86495943e-02 3.86976757e-02
3.88191603e-02 3.88191603e-02 3.95561189e-02 3.95809237e-02
3.98048678e-02 3.99548674e-02 4.04082661e-02 4.09180794e-02
4.11753930e-02 4.16948847e-02 4.34561611e-02 4.34561611e-02
4.36746434e-02 4.46434923e-02 4.49242332e-02 4.55480931e-02
4.56910834e-02 4.58345226e-02 4.62965610e-02 4.67632570e-02
4.71754736e-02 4.75614990e-02 4.91990934e-02 5.06384795e-02
5.09888739e-02 5.10848561e-02 5.13738880e-02 5.34769357e-02
5.55038117e-02 5.83557094e-02 5.99172328e-02 6.09401169e-02
6.15205406e-02 6.38980466e-02 6.39413267e-02 6.79130301e-02
6.90256622e-02 7.03944407e-02 7.16932091e-02 7.33131782e-02
7.39613527e-02 7.52239926e-02 7.70801571e-02 7.87530785e-02
7.89005046e-02 8.07416132e-02 8.25741890e-02 8.50824871e-02
8.56145636e-02 8.58818484e-02 8.85458048e-02 8.90440107e-02
8.98805910e-02 9.31899867e-02 9.34226620e-02 9.67417800e-02
9.96183139e-02 1.00053991e-01 1.02388707e-01 1.05236145e-01
1.05630519e-01 1.11072583e-01 1.13251811e-01 1.14031116e-01
1.14684631e-01 1.15144319e-01 1.15605850e-01 1.16069230e-01
1.27255001e-01 1.28791364e-01 1.39041200e-01 1.42663155e-01
1.54503139e-01 1.55451849e-01 1.56269665e-01 1.56406385e-01
1.62328917e-01 1.67081831e-01 1.73484444e-01 1.82032707e-01
1.82910365e-01 1.86813490e-01 1.88217100e-01 1.88588221e-01
2.03658780e-01 2.18916126e-01 2.26075728e-01 2.29569297e-01
2.35809647e-01 2.44001880e-01 2.53696727e-01 2.54026439e-01
2.92712299e-01 3.11178933e-01 3.25501567e-01 3.28755549e-01
3.30472978e-01 3.50017967e-01 3.59098450e-01 3.66040926e-01
3.83711622e-01 3.98491438e-01 4.32269684e-01 4.43532497e-01
5.01225556e-01 5.16234099e-01 5.68069522e-01 6.27143347e-01
6.30880897e-01 6.36739187e-01 6.98896707e-01 7.44336141e-01
7.49118509e-01 8.01996302e-01 8.28825166e-01 8.58015300e-01
9.43029406e-01 9.67280735e-01 9.95125008e-01 1.14335255e+00
1.75020734e+00 1.86716471e+00 5.16641385e+00 1.10962622e+01
6.66700000e+06 6.66700000e+06 6.66700000e+06 6.66700000e+06] mJy at 2.159 micron -> Flux: [6.99680343e-04 9.45636540e-04 1.28513527e-03 1.29254100e-03
1.40358498e-03 1.42119495e-03 1.45496585e-03 1.49064905e-03
1.52953414e-03 1.52953414e-03 1.54701431e-03 1.55877999e-03
1.56469677e-03 1.57063628e-03 1.61530405e-03 1.62020939e-03
1.62143808e-03 1.62636229e-03 1.62883007e-03 1.63253884e-03
1.63998206e-03 1.67136710e-03 1.69177195e-03 1.69305559e-03
1.69691244e-03 1.70206875e-03 1.71242900e-03 1.71763304e-03
1.73597357e-03 1.75052297e-03 1.75584421e-03 1.75851096e-03
1.78134457e-03 1.79083366e-03 1.80721985e-03 1.80996561e-03
1.81271558e-03 1.81960903e-03 1.82652901e-03 1.83069378e-03
1.83208417e-03 1.83765644e-03 1.85588504e-03 1.86153057e-03
1.86435986e-03 1.88142719e-03 1.88428708e-03 1.88715137e-03
1.89289318e-03 1.89577071e-03 1.90009532e-03 1.90442990e-03
1.90442990e-03 1.92918228e-03 1.93358402e-03 1.93652417e-03
1.94389434e-03 1.95277602e-03 1.95426029e-03 1.95723226e-03
1.96617562e-03 1.97516034e-03 1.97516034e-03 1.97816448e-03
1.97966827e-03 1.98267935e-03 1.98871540e-03 2.00084335e-03
2.00693537e-03 2.02224767e-03 2.03612980e-03 2.04233056e-03
2.05791618e-03 2.08627425e-03 2.09103890e-03 2.09422145e-03
2.10060125e-03 2.10379853e-03 2.11502782e-03 2.12470119e-03
2.12631777e-03 2.13183778e-03 2.13314458e-03 2.13969071e-03
2.14231483e-03 2.15020666e-03 2.15548415e-03 2.15812779e-03
2.16342487e-03 2.17006465e-03 2.18876550e-03 2.19145027e-03
2.19413836e-03 2.19817673e-03 2.20357288e-03 2.21304828e-03
2.21304828e-03 2.21712172e-03 2.21984155e-03 2.22529129e-03
2.22938745e-03 2.23075452e-03 2.24172155e-03 2.24172155e-03
2.24722542e-03 2.25136227e-03 2.25688999e-03 2.25688999e-03
2.25965898e-03 2.26104476e-03 2.27076922e-03 2.27634496e-03
2.28333405e-03 2.28473446e-03 2.28613573e-03 2.29596894e-03
2.29596894e-03 2.30725909e-03 2.30725909e-03 2.31576340e-03
2.31860518e-03 2.32429930e-03 2.32572502e-03 2.33000750e-03
2.33143676e-03 2.33286690e-03 2.33572983e-03 2.35153937e-03
2.35876112e-03 2.36020816e-03 2.37327175e-03 2.39373787e-03
2.39373787e-03 2.39520653e-03 2.40403753e-03 2.41142176e-03
2.42774761e-03 2.42774761e-03 2.43371186e-03 2.43371186e-03
2.43669952e-03 2.47284099e-03 2.47891688e-03 2.47891688e-03
2.48196045e-03 2.48348365e-03 2.48653288e-03 2.48958588e-03
2.51106291e-03 2.51723342e-03 2.51877844e-03 2.52651785e-03
2.54362901e-03 2.54988016e-03 2.55144537e-03 2.57346015e-03
2.57346015e-03 2.58771348e-03 2.59407380e-03 2.59407380e-03
2.63418422e-03 2.63580158e-03 2.64877646e-03 2.65040284e-03
2.67656216e-03 2.70298163e-03 2.71129148e-03 2.71962707e-03
2.73469625e-03 2.74310434e-03 2.74310434e-03 2.75830459e-03
2.76169394e-03 2.76169394e-03 2.79067329e-03 2.81304053e-03
2.81995903e-03 2.82342471e-03 2.83558840e-03 2.85831837e-03
2.86358976e-03 2.87239719e-03 2.87946278e-03 2.87946278e-03
2.89186972e-03 2.89186972e-03 2.91684542e-03 2.92581788e-03
2.93301587e-03 2.96927209e-03 2.98101491e-03 2.99956238e-03
3.00972807e-03 3.01652445e-03 3.02163186e-03 3.03016356e-03
3.04386471e-03 3.04558173e-03 3.06107883e-03 3.07145429e-03
3.07318696e-03 3.09231145e-03 3.09754797e-03 3.10804778e-03
3.12386468e-03 3.13445424e-03 3.13976256e-03 3.16108642e-03
3.16465453e-03 3.20778928e-03 3.21684987e-03 3.21866507e-03
3.21866507e-03 3.22229858e-03 3.24235673e-03 3.26806705e-03
3.29398249e-03 3.31448957e-03 3.34643526e-03 3.38250597e-03
3.44414298e-03 3.44997907e-03 3.45582510e-03 3.45972799e-03
3.47538395e-03 3.48127329e-03 3.48127329e-03 3.51087093e-03
3.51483636e-03 3.51682077e-03 3.52278075e-03 3.55273340e-03
3.57284404e-03 3.58294226e-03 3.59509804e-03 3.59712803e-03
3.61340953e-03 3.65237583e-03 3.69593586e-03 3.70638409e-03
3.70847730e-03 3.75907263e-03 3.76757244e-03 3.76757244e-03
3.79747432e-03 3.80391286e-03 3.80606148e-03 3.80821132e-03
3.82329444e-03 3.82977702e-03 3.86890533e-03 3.89301479e-03
3.90402354e-03 3.90843580e-03 3.92170271e-03 3.94837258e-03
3.97197406e-03 3.98190208e-03 3.98406997e-03 4.02329660e-03
4.10069181e-03 4.12083556e-03 4.13432026e-03 4.14107933e-03
4.19555552e-03 4.21387477e-03 4.22076531e-03 4.25075616e-03
4.25770766e-03 4.27164515e-03 4.30434556e-03 4.32550075e-03
4.34202741e-03 4.35624391e-03 4.36336979e-03 4.38942497e-03
4.39170010e-03 4.39170010e-03 4.39625393e-03 4.40994408e-03
4.42826467e-03 4.43975407e-03 4.45588988e-03 4.48368928e-03
4.48833952e-03 4.50932602e-03 4.64215568e-03 4.66145150e-03
4.67840183e-03 4.71004644e-03 4.73944882e-03 4.75668579e-03
4.79881124e-03 4.80379189e-03 4.81127268e-03 4.83880307e-03
4.85388669e-03 4.86649267e-03 4.87407213e-03 4.89942326e-03
4.89942326e-03 4.90450945e-03 4.92490763e-03 4.93257903e-03
4.93513885e-03 4.95309519e-03 4.98144579e-03 5.01256077e-03
5.01776566e-03 5.06485613e-03 5.13633054e-03 5.20341909e-03
5.25772694e-03 5.26325468e-03 5.26900958e-03 5.27477084e-03
5.34148554e-03 5.34732703e-03 5.40019237e-03 5.57111560e-03
5.60779163e-03 5.61699877e-03 5.62314535e-03 5.70679377e-03
5.74751705e-03 5.75066176e-03 5.76956667e-03 5.82347288e-03
5.89399139e-03 5.93931619e-03 5.95233081e-03 6.05086501e-03
6.08740645e-03 6.13087986e-03 6.37042691e-03 6.50084911e-03
6.55808167e-03 6.63033999e-03 6.72179702e-03 6.92372519e-03
6.97707171e-03 7.00006164e-03 7.03854864e-03 7.04642662e-03
7.06625921e-03 7.06625921e-03 7.18645275e-03 7.19049482e-03
7.22697764e-03 7.25140404e-03 7.32518820e-03 7.40806650e-03
7.44986260e-03 7.53417562e-03 7.81935559e-03 7.81935559e-03
7.85466070e-03 8.01103626e-03 8.05629368e-03 8.15677716e-03
8.17979145e-03 8.20287175e-03 8.27717455e-03 8.35216162e-03
8.41834163e-03 8.48027174e-03 8.74251706e-03 8.97240546e-03
9.02828316e-03 9.04358382e-03 9.08964410e-03 9.42413366e-03
9.73948202e-03 1.01787140e-02 1.04183186e-02 1.05749437e-02
1.06637055e-02 1.10264539e-02 1.10330452e-02 1.16361334e-02
1.18044717e-02 1.20112118e-02 1.22070262e-02 1.24508001e-02
1.25481952e-02 1.27376913e-02 1.30157244e-02 1.32564846e-02
1.32775181e-02 1.35398195e-02 1.38002347e-02 1.41556231e-02
1.42308584e-02 1.42686326e-02 1.46444092e-02 1.47145454e-02
1.48322194e-02 1.52965481e-02 1.53291248e-02 1.57928767e-02
1.61933860e-02 1.62539364e-02 1.65779326e-02 1.69720061e-02
1.70264948e-02 1.77501344e-02 1.80320324e-02 1.81326799e-02
1.82170172e-02 1.82763059e-02 1.83358034e-02 1.83955104e-02
1.98284117e-02 2.00240211e-02 2.13221972e-02 2.17782325e-02
2.32181045e-02 2.33284949e-02 2.34235917e-02 2.34394841e-02
2.41263997e-02 2.46755729e-02 2.54125586e-02 2.63917665e-02
2.64920071e-02 2.69339546e-02 2.70902461e-02 2.71315490e-02
2.88021709e-02 3.04841287e-02 3.12811106e-02 3.16769541e-02
3.24077115e-02 3.33634075e-02 3.44900788e-02 3.45283211e-02
3.90277055e-02 4.11882570e-02 4.28677460e-02 4.32484531e-02
4.34492626e-02 4.57456814e-02 4.68098570e-02 4.76217056e-02
4.97111799e-02 5.14592824e-02 5.54615463e-02 5.67941541e-02
6.36701575e-02 6.54734596e-02 7.17236655e-02 7.88835822e-02
7.93391316e-02 8.00530111e-02 8.76398415e-02 9.32034433e-02
9.37922049e-02 1.00335182e-01 1.03658599e-01 1.07309319e-01
1.18000355e-01 1.21062007e-01 1.24598346e-01 1.43742180e-01
2.32355761e-01 2.50126099e-01 7.14572980e-01 1.55716970e+00
nan nan nan nan] mJy at 7.7 micron
Simulated stars in blue, sources found in green.
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.scatter(catalog_matched['xcentroid'], F770W_ABmag, color='blue', label='Simulated stars')
ax.scatter(catalog_matched['xcentroid'], catalog_matched['aper_total_abmag'], color='green', label='Sources found')
ax.legend()
plt.xlabel('X position in pixels')
plt.ylabel('AB mag')
Text(0, 0.5, 'AB mag')
Found catalog minus matched simulated AB mag vs. x position and vs. y position, with the median magnitude difference plotted as a horizontal line in red.
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.set_ylim(-1,1)
ax.scatter(catalog_matched['xcentroid'], F770W_ABmag-catalog_matched['aper_total_abmag'], color='blue')
#ax.legend()
plt.title('ABmag difference (simulated - found) vs. x position')
plt.xlabel('X position in pixels')
plt.ylabel('Delta AB mag')
ok = np.logical_and(F770W_ABmag>0, F770W_ABmag<100)
m = F770W_ABmag[ok]-catalog_matched['aper_total_abmag'][ok]
np.median(m)
plt.hlines(np.median(m), min(catalog_matched['xcentroid']), max(catalog_matched['xcentroid']), color='red')
<matplotlib.collections.LineCollection at 0x7f2167f725b0>
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.set_ylim(-1,1)
ax.scatter(catalog_matched['ycentroid'], F770W_ABmag-catalog_matched['aper_total_abmag'], color='blue')
#ax.legend()
plt.title('ABmag difference (simulated - found) vs. y position')
plt.xlabel('Y position in pixels')
plt.ylabel('Delta AB mag')
ok = np.logical_and(F770W_ABmag>0, F770W_ABmag<100)
m = F770W_ABmag[ok]-catalog_matched['aper_total_abmag'][ok]
np.median(m)
plt.hlines(np.median(m), min(catalog_matched['ycentroid']), max(catalog_matched['ycentroid']), color='red')
<matplotlib.collections.LineCollection at 0x7f2164ee47f0>
Median difference marked by line in red.
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.set_ylim(-1,1)
ax.scatter(F770W_ABmag, F770W_ABmag-catalog_matched['aper_total_abmag'], color='blue')
#ax.legend()
plt.title('Difference in AB mag (simulated-found) vs. ABmag (simulated)')
plt.xlabel('AB mag')
plt.ylabel('Delta AB mag')
ok = np.logical_and(F770W_ABmag>0, F770W_ABmag<100)
m = F770W_ABmag[ok]-catalog_matched['aper_total_abmag'][ok]
np.median(m)
plt.hlines(np.median(m), 16, 24.5, color='red')
<matplotlib.collections.LineCollection at 0x7f2164f39850>
Look at the matched image to see what sources were matched between the simulated and found catalogs and see if there is a pattern to which 'found' sources were not matched to the simulated catalog. Are they mostly galaxies or were the found sources in areas of confusion between two stars or sources where the source finding algorithm might not have pinpointed the actual centroid of the source. If the majority of the sources matched seem to be the stars that are clearly marked and properly found, that part of the test passes.
If the plots showing magnitudes of the matched sources show that they're close (exact criteria for 'close' TBD), then that test passes.
This test is mostly visual inspection of the images and plots. As long as nothing is obviously wrong (no columns in the table marked as all NaNs, sources found seem to be real sources, and a good number of them match the simulated sources input into the image), then this test passes.
Authors: M. Cracraft, M. Libralato and T. Temim, MIRI Branch
Updated On: 08/18/2021